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UNet Based onMulti-Object Segmentation and Convolution Neural Network for Object Recognition

computers, Materials & Continua 2024年第7期80卷 1563-1580页

作者： Nouf Abdullah Almujally Bisma Riaz Chughtai Naif Al Mudawi Abdulwahab Alazeb Asaad Algarni Hamdan A.Alzahrani Jeongmin Park Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia Information Technology Department College of Computing and InformaticsSaudi Electronic UniversityRiyadh13316Saudi Arabia Department of Computer Engineering Korea Polytechnic UniversitySiheung-siGyeonggi-do237Republic of Korea

The recent advancements in vision technology have had a significant impact on our ability to identify multiple objects and understand complex *** technologies,such as augmented reality-driven scene integration,robotic navigation,autonomous driving,and guided tour systems,heavily rely on this type of scene *** paper presents a novel segmentation approach based on the UNet network model,aimed at recognizing multiple objects within an *** methodology begins with the acquisition and preprocessing of the image,followed by segmentation using the fine-tuned UNet ***,we use an annotation tool to accurately label the segmented *** labeling,significant features are extracted from these segmented objects,encompassing KAZE(Accelerated Segmentation and Extraction)features,energy-based edge detection,frequency-based,and blob *** the classification stage,a convolution neural network(CNN)is *** comprehensive methodology demonstrates a robust framework for achieving accurate and efficient recognition of multiple objects in *** experimental results,which include complex object datasets like MSRC-v2 and PASCAL-VOC12,have been *** analyzing the experimental results,it was found that the PASCAL-VOC12 dataset achieved an accuracy rate of 95%,while the MSRC-v2 dataset achieved an accuracy of 89%.The evaluation performed on these diverse datasets highlights a notably impressive level of performance.

关键词： UNet segmentation blob fourier transform convolution neural network

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TrioPen: A novel model to prioritize responsive flows enabling enhanced multimedia communication on the Internet

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Multimedia Tools and Applications 2024年 1-29页

作者： Awan, Khadija Khan, Sumbal Haider, Shahab Khan, Noreen Ali, Zulfiqar Damaševicius, Robertas Department of Computer Science City University of Science and Information Technology Dalazak Road Khyber Pakhtunkhwa Peshawar25000 Pakistan Centre of Real Time Computer Systems Kaunas University of Technology Kaunas44404 Lithuania

The use of social media platforms around the world has exponentially increased Internet traffic. Such platforms enable multimedia communication including textual, audio, and video streaming. This adds enormous amount of data to the network, which adversely impacts the network throughput. A responsive source employs a reliable adaptive policy for data transmission among nodes, which is exploited by unresponsive source nodes to their favour that leads towards unfair queue allocation. The existing literature provides several queue management models, however, these models are incapable of penalizing unresponsive flows to avoid unfair queue occupation. To resolve this issue, we propose a novel Triple penalty-enabled prioritized queue management (TrioPen) model, which imposes a three-tier penalty to prioritize responsive flows. TrioPen splits the physical queue into two virtual queues, where a predefined threshold is maintained on the first virtual queue, as a tier-1 penalty, to restrict unresponsive flows. Moreover, TrioPen introduces a novel scheduling mechanism for transition of packets among the virtual queues, where a skip factor works as the tier-2 penalty and increases queueing delay for unresponsive flows in comparison with responsive flows. Additionally, another predefined threshold in the second virtual queue, serving as tier-3 penalty, further restricts unresponsive flows, thereby, ensuring fair queue allocation among responsive and unresponsive flows. Simulation results demonstrate that TrioPen reduces packet loss rate to 1.91 %, end-to-end delay to 0.04 ms, jitter to 0.05 ms, and improves throughput to 98.05 % for responsive flows, which is significantly better in comparison with eminent queue management models. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Traffic congestion

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Improved Multi-Path Routing for QoS on MANET

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computer systems Science & Engineering 2023年第6期45卷 2521-2536页

作者： M.Vargheese Surbhi Bhatia Shakila Basheer Pankaj Dadheech Department of Computer Science and Engineering PSN College of Engineering and TechnologyTirunelveli627152Tamil NaduIndia Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversityAl HasaSaudi Arabia Department of Information Systems College of Computer and Information SciencePrincess Nourah bint Abdulrahman UniversityP.O.BOX 84428Riyadh11671Saudi Arabia Department of Computer Science&Engineering Swami Keshvanand Institute of TechnologyManagement&Gramothan(SKIT)Jaipur302017RajasthanIndia

A Mobile Ad hoc NETwork(MANET)is a self-configuring network that is not reliant on *** paper introduces a new multipath routing method based on the Multi-Hop Routing(MHR)*** is the consecutive selection of suitable relay nodes to send information across nodes that are not within direct range of each *** to ensure good MHR leads to several negative consequences,ultimately causing unsuccessful data transmission in a *** research work consists of three *** first to attempt to propose an efficient MHR protocol is the design of Priority Based Dynamic Routing(PBDR)to adapt to the dynamic MANET environment by reducing Node Link Failures(NLF)in the *** is achieved by dynamically considering a node’s mobility parameters like relative velocity and link duration,which enable the next-hop *** method works more efficiently than the traditional *** the second stage is the Improved Multi-Path Dynamic Routing(IMPDR).The enhancement is mainly focused on further improving the Quality of Service(QoS)in MANETs by introducing a QoS timer at every node to help in the QoS routing of *** QoS is the most vital metric that assesses a protocol,its dynamic estimation has improved network performance *** method uses distance,linkability,trust,and QoS as the four parameters for the next-hop *** is compared against traditional routing *** Network Simulator-2(NS2)is used to conduct a simulation analysis of the protocols under *** proposed tests are assessed for the Packet Delivery Ratio(PDR),Packet Loss Rate(PLR),End-to-End Delay(EED),and Network Throughput(NT).

关键词： Multi-path routing quality of service node-link failure packet delivery ratio

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Analysis of Student's Interest Using Discord Application as an Alternative Media Learning 8

Analysis of Student's Interest Using Discord Application as ...

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8th International Conference on information Management and Technology, ICIMTech 2023

作者： Kristian, Willy Ferdianto Sukmaningsih, Ra Dyah Wahyu Ohyver, Margaretha School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia School of Computer Science Bina Nusantara University Statistics Department Jakarta11480 Indonesia

ISBN: (纸本)9798350326093

Since its introduction to the public in May 2015, Discord has gained immense popularity among gamers as a communication platform for team-based gaming. However, it has also found favor among students who utilize it for collaborative learning, group discussions, and project management. This study aims to investigate the motivations and preferences of students in using Discord for their learning activities, as well as to identify the advantages and challenges associated with its usage. With its comprehensive features, Discord has emerged as an alternative communication medium within educational contexts. Consequently, this research seeks to evaluate students' level of interest and willingness to adopt Discord as an alternative medium for learning. Data for this study will be collected through a straightforward questionnaire. Among the variables examined, Social Media Literacy and Perceived Behavioral Control were found to significantly influence user attitude. Furthermore, user attitude was found to have a significant impact on the intention to use social media. © 2023 IEEE.

关键词： Students

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Simulation of a Pick and Place System for Electronic Cards Using a YuMi Cobot 10

Simulation of a Pick and Place System for Electronic Cards U...

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10th International Conference on Automation, Robotics, and Applications, ICARA 2024

作者： Sze, Derrick L. Reyes, Rosula S.J. Abu, Patricia Angela R. Computer and Communications Engineering Department of Electronics United States Ateneo de Manila University Department of Information Systems and Computer Science Quezon City Philippines

ISBN: (纸本)9798350394245

Collaborative Robots are one of the main drivers of Industry 4.0, which started as a vision focusing on industrial production. It addresses several challenges in the current manufacturing industry such as performing repetitive work and requiring highly skilled workers. The goal of the research is to be able to simulate a pick and place environment with electronic cards using a YuMi cobot and mobile platforms in Coppeliasim. The mobile robot is responsible for transporting the electronic cards to the target location through path planning implemented using the OMPL plug-in. After arriving at the target location, YuMi will then perform the pick and place task from vertically stacked cards through inverse kinematics. Use cases were considered on the chosen mobile platform and robotic arms to determine the capabilities and limitations of the hardware involved. In addition, the total power consumption was obtained for energy assessment when the setup is performed in a real-world setting. For this particular setup, the fourth joint starting from the base consumed the most power and is therefore the primary target for optimization. © 2024 IEEE.

关键词： Motion planning

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Artificial Intelligence Based Data Offloading Technique for Secure MEC systems

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computers, Materials & Continua 2022年第8期72卷 2783-2795页

作者： Fadwa Alrowais Ahmed S.Almasoud Radwa Marzouk Fahd N.Al-Wesabi Anwer Mustafa Hilal Mohammed Rizwanullah Abdelwahed Motwakel Ishfaq Yaseen Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrince Sultan UniversityRafha StreetRiyadh11586Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Science College of Science&Arts at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia Department of Information Systems Faculty of Computer and Information TechnologySana’a University61101Yemen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia

Mobile edge computing(MEC)provides effective cloud services and functionality at the edge device,to improve the quality of service(QoS)of end users by offloading the high computation ***,the introduction of deep learning(DL)and hardware technologies paves amethod in detecting the current traffic status,data offloading,and cyberattacks in *** study introduces an artificial intelligence with metaheuristic based data offloading technique for Secure MEC(AIMDO-SMEC)*** proposed AIMDO-SMEC technique incorporates an effective traffic prediction module using Siamese Neural Networks(SNN)to determine the traffic status in the MEC ***,an adaptive sampling cross entropy(ASCE)technique is utilized for data offloading in MEC ***,the modified salp swarm algorithm(MSSA)with extreme gradient boosting(XGBoost)technique was implemented to identification and classification of cyberattack that exist in the MEC *** examining the enhanced outcomes of the AIMDO-SMEC technique,a comprehensive experimental analysis is carried out and the results demonstrated the enhanced outcomes of the AIMDOSMEC technique with the minimal completion time of tasks(CTT)of 0.680.

关键词： Data offloading mobile edge computing security machine learning artificial intelligence XGBoost salp swarm algorithm

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Network Performance Analysis Using Packets Probe for Passive Monitoring

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Informatica (Slovenia) 2022年第7期46卷 153-160页

作者： Alkenani, Jawad Nassar, Khulood Ahmed Department of Computer Science Shatt Al-Arab University College Basra Iraq College of Computer Science and Information Technology Computer Information Systems Department University of Basrah Basrah Iraq

Measuring network performance is essential in computer networks, and benchmarking may not be effective for installation in peripheral devices, resulting in replacing those devices and thus increasing cost. In light of this, it is better to have a software system for the network to see its performance rather than the actual design. In this paper, we developed negative network tomography techniques to infer correlation-level aberrations such as excessive loss rates and delays from path-level measurements. Our system involves placing packet probes in passive monitoring devices on strategic links within the network to learn about network performance with the identification of missing and transmitted packets, and to keep the cost of monitoring and communications infrastructure low. A graphical user interface (GUI) represents provided a variety of data, metrics. this work can be a useful guide for network researchers or other programmers to analyze their networks and understand how to calculate network performance, where it has been compared to the network performance measurement and evaluation system (NPMES), the results of the system were the accuracy of 94%. © 2022 Slovene Society Informatika. All rights reserved.

关键词： Network performance

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An Artificial Intelligence Peer-To-Peer Car Repair Platform 1st

An Artificial Intelligence Peer-To-Peer Car Repair Platform

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1st International Conference on Advances in Computing Research, ACR’23

作者： Alluhaidan, Ala Saleh Alzaid, Layan Aldossari, Daniyah Alhumid, Renad Alkadi, Joud Department of Information Systems College of Computer and Information Science Princess Nourah Bint Abdulrahman University Riyadh Saudi Arabia

ISBN: (纸本)9783031337420

Auto service industry is a very extensive field and there are many chances for utilizing technology in offering better services. In current model of service provider, finding the righteous place for repairing car can be a tedious job. In the Kingdom of Saudi Arabia, vehicle repairing becomes a challenging task since vehicle workshops are usually located in distant areas and randomly distributed. This can ravage customers’ time to find the right workshop, especially, with the increasing traffic and accidents in the Kingdom of Saudi Arabia. With smart phones applications, reporting and accepting services become easy and fast. Therefore, finding the best deal with transparent pricing is a desirable service. Time saving and preventing commercial fraud are among the goals of using such an application. The proposed system aims to enable the user to upload the image of the vehicle then, the image will be analyzed, and an estimate of repairing cost is given. The novelty in this application is grounded on a shared platform between customer and service provider with pricing estimate of service needed and the request is shared among the available shops. Liability and usability of the app was measured with error free application and 88% application usability survey. This system will contribute to the work of a strategy intended to improve business and customer satisfaction when it comes to vehicle repair processes. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Customer satisfaction

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Case of Discrete-Event Simulation of the Simple Sensor Node with CPN Tools

Case of Discrete-Event Simulation of the Simple Sensor Node ...

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2022 International Siberian Conference on Control and Communications, SIBCON 2022

作者： Faerman, Vladimir Voevodin, Kirill Avramchuk, Valeriy Tomsk State University of Computer Systems and Radioelectronics Department of Complex Information Security of Computer Systems Tomsk Russia

ISBN: (纸本)9781665476287

The manuscript discusses the case of evaluating the performance of a computing unit in a sensor node using simulation modeling. The practice of utilizing modern wireless sensor networks shows that the amount of data transmitted from terminal nodes is strictly limited. Pre-processing of data directly in the sensor node cuts down the need for raw data transmission. However, at the same time it promotes the need to process sensor data in real-time, that implies increased demands on the processing unit. The article proposes a model based on colored Petri nets to assess the sufficiency of the computational capabilities of the signal processor. The discrete-event simulation model allows changing such case parameters as input data bit rate, ADC buffer size, hardware interrupt generation time, computing unit memory size, and others. The time parameters of data processing used for the model could be based on performance estimates and therefore must be obtained beforehand. The proposed model has been successfully applied to the case of specifying limitations on the supported operating modes of the sensor node of the leak noise correlator based on Raspberry Pi. © 2022 IEEE.

关键词： Discrete event simulation

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Chlorophyll-based Saturable Absorber for Q-switched Pulse Generation in Er-Doped Fiber Laser Cavity 10

Chlorophyll-based Saturable Absorber for Q-switched Pulse Ge...

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10th IEEE International Conference on Photonics, ICP 2024

作者： Tarmizi, S.Z.A. Ahmad Mansor, M. Abidin, N.H. Zainol Mahdi, M.A. Mazlan, M.F. Computer and Communication Systems Engineering Universiti Putra Malaysia Selangor UPM Serdang 43400 Malaysia Department of Computing and Information Systems School of Engineering and Technology Sunway University Selangor 47500 Malaysia

ISBN: (纸本)9798350383164

In this paper, we present experimental results on the use of all-organic Chlorophyll-based saturable absorber (Chl-SA) extracted from spinach for the generation of Q- switched pulse. The Chl-SA was fabricated by depositing Chl in powder form onto a fiber ferrule. The Chl-SA generated Q- switched pulse at 1559-1560 nm when employed in a 980 nm laser diode pumped erbium-doped fiber laser (EDFL) cavity. Pulse generation was achieved from 45 mW pump power up to 70 mW pump powers where the repetition rate increased while pulse duration shortened with increasing pump power. The highest repetition rate of 15.15 kHz and shortest pulse width of 32 µs were obtained. This highlights the promising potential of chlorophyll as a standalone material and its capacity to potentially boost the generation of pulse lasers when combined with other materials. ©2024 IEEE.

关键词： Pulse repetition rate

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