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检索条件"任意字段=1st IEEE International Conference on Distributed Computing in Sensor Systems"

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A Unique distributed Risk Tolerant Path Planning Framework towards Generation of Virtual Path for Automated Vehicles in the Smart City Ecosystem 1

A Unique Distributed Risk Tolerant Path Planning Framework t...

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1st ieee international conference on Emerging Research in Computational Science, ICERCS 2023

作者： Sasikala, P. Malathy, S. Esakki Rajavel, S. Sivaprakasam, T. Emayavaramban, G. Abirami, N. Karpagam Academy of Higher Education Department of Ece Tamil Nadu Coimbatore India

ISBN: (纸本)9798350359756

Automated and Autonomous vehicle has attracted considered interest in recent decade by leveraging the current telecommunication networks in order to reduce the traffic in both air and road network and to reduce the cost of fuel cost communication and reduce emissions and finally mitigates the parking related issues in the smart cities. However current telecommunication networks suffer from simultaneously handling the heterogeneous vehicle data traffic and network component failure due to natural disaster. In order to manage those challenges, a new distributed failure tolerant path planning framework has been modelled to generate the virtual path for automated vehicles like drone and grounded vehicles. Due to advent of artificial intelligence and deep learning technologies in the software defined networks, efficient management of the automated vehicle is feasible using existing telecommunication network like 3G/4G and LTE networks. Proposed model integrates architecture with the Amazon or IBM webserver to gather and manage the network data and its communications. Web Server has been deployed with developed virtual path planning algorithm to control the autonomous vehicles on extracting the various information from the sensor component in the ecosystem using telecommunication network. Base station also categories and schedules the data efficiently to reduce the computation time and cost. Especially each node which considered as sensor or transceiver is capable of the operating in fixed speed for specific data size and it is configured in transformers in electric grids, street lights, and overhead electric lines in railways and medians in the road. In order to increase the limit, data compression and signal amplification is enabled through amplifier connected with sensor or transceiver component. Further optical fibre channel is employed for data communication between transceiver and base station in the web server whereas two transceivers can be connected in wireless m

关键词： Network architecture

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PipePrune: Pipeline Parallel Based on Convolutional Layer Pruning for distributed Deep Learning 23

PipePrune: Pipeline Parallel Based on Convolutional Layer Pr...

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23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Tan, Daojun Jiang, Wenbin Qin, Shang Jin, Hai School of Computer Science and Technology Huazhong University of Science and Technology Natl. Eng. Res. Ctr. for Big Data Technol. and Syst. Serv. Comp. Technol. and Syst. Lab Cluster and Grid Comp. Lab Wuhan430074 China

ISBN: (纸本)9781665494571

Benefitting from the combination of the idea of pipeline with model parallelism and data parallelism, pipeline parallelism improves the efficiency of distributed deep learning systems significantly. However, suffering from the bubbles and gaps caused by the imbalance of different stages in pipeline, it can not output ideal performance yet. To explore the potential of pipeline parallelism further, we propose a novel approach called PipePrune, which adds a convolutional layer pruning strategy to pipeline creatively to reduce the bubbles and gaps. For the convolutional layers with heavy overheads, some unimportant kernels are pruned by the measurement of the L1-norm. This approach makes the processing overheads of different pipeline stages more balanced. The experimental results show that, compared with state-of-the-art pipeline methods, PipePrune can improve the training speeds obviously (e.g. for ResNet50 on ImageNet, about 30% speed improvement is realized with only 1.1% loss of training accuracies). © 2021 ieee.

关键词： Training Deep learning Smart cities Pipelines Neural networks distributed databases Parallel processing

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On Understanding Sports-HAR: Hierarchical, Mobile, Multi-sensor based Classification of Table-Tennis strokes 1

On Understanding Sports-HAR: Hierarchical, Mobile, Multi-Sen...

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1st international conference of Intelligent Methods, systems and Applications, IMSA 2023

作者： Ezzeldin, Mustafa Ghoneim, Amr S. Abdelhamid, Laila Atia, Ayman Helwan University Faculty of Computers AI Software Engineering Cairo Egypt Helwan University Faculty of Computers and AI Computer Science Cairo Egypt Helwan University Faculty of Computers and AI Information Systems Cairo Egypt Helwan Univeristy HCI-LAB Faculty of Computers and AI Computer Science Cairo Egypt Faculty of Computer Science Giza Egypt

ISBN: (纸本)9798350335569

Table Tennis is a renowned competitive and recreational sport. An Olympic sport since 1988, table tennis in-cludes several movements, shots (i.e., strokes), and positions. Consequently, many factors can affect the strokes' accuracy and strength. This paper aims twofold: to classify the type of shot and to enhance the performance of the classification by improving the recognition accuracy and reducing the computational time. To track the movement of the body parts and extract table tennis stroke information, sensors (both Accelerometers and Gyroscopes) were utilized. The extracted data are processed and passed to a P-Dollar classifier to recognize six different table tennis strokes. This work utilizes two classification approaches to evaluate the performance, both linear and hierarchical. The presented results demonstrate that the hierarchical classification yields a better accuracy of 88%, achieved in 4 seconds, while traditional linear classification achieved 83% within 6 seconds. © 2023 ieee.

关键词： Gyroscopes

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Vulnerability Assessment and Mitigation strategies for Satellite Communication systems Under DDoS Attacks 1

Vulnerability Assessment and Mitigation Strategies for Satel...

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1st international conference on Global Aeronautical Engineering and Satellite Technology, GAst 2024

作者： Toubi, Ayoub Hajami, Abdelmajid University Faculty of Science and Technology Lavete Laboratory Hassan 1er Settat Morocco

ISBN: (纸本)9798350371598

Satellite communication systems play a pivotal role in modern global connectivity, serving critical functions in telecommunications, broadcasting, and data transmission. However, their reliance on interconnected networks exposes them to the growing threat of distributed Denial of Service (DDoS) attacks. This research focuses on conducting a comprehensive vulnerability assessment of satellite communication systems in the face of DDoS attacks and proposes effective mitigation strategies to safeguard their *** a thorough examination of potential vulnerabilities, this study identifies key weaknesses that make satellite communication systems susceptible to DDoS threats. Leveraging this analysis, the research then introduces a set of mitigation strategies designed to fortify the resilience of these systems against disruptive attacks. These strategies encompass both proactive measures, such as network segmentation and traffic filtering, and reactive responses, including anomaly detection and rapid incident ***, the study investigates the performance impact of DDoS attacks on satellite communication systems, assessing the degradation of service quality, latency, and throughput. By simulating attack scenario, the research quantifies the extent of these performance disruptions and explores the implications for users and ***, this research contributes to the development of a robust framework for securing satellite communication systems in the face of DDoS threats. The proposed vulnerability assessment and mitigation strategies provide a foundation for enhancing the resilience of these systems, ensuring their continued reliability and functionality in an era where cyber threats pose an increasing risk to critical infrastructure. © 2024 ieee.

关键词： Denial-of-service attack

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Design And Construction of a Smart Restaurant Service Using Conveyor Belt 1

Design And Construction of a Smart Restaurant Service Using ...

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1st ieee international conference on Advances in Electronics, Communication, computing and Intelligent Information systems, ICAECIS 2023

作者： Islam Jubaid, Md. Jubaidul Haque Chowdhury, Mohammed Soaibul Islam, Miftahul Joy, Pritom Paria Ahmed Hmu, Sheik Erfan Abrar, Fahim Hossain, Md. Minhaj Alam, Jobaer International Islamic University Chittagong Dept. of Electrical and Electronic Engineering Chittagong Bangladesh

ISBN: (纸本)9798350348057

In this digital world, the main focus is to automate every possible thing to take advantage in providing ease in human life. Automation is being seen in industrial consumer and commercial applications. We see in most of the restaurant's meal orders is relying on the interaction with waiters to place the order in the kitchen. This cooperation is difficult during peak hours, leading to customer dissatisfaction. Besides this, the system is not even hygienic, especially in a situation like the Covid pandemic. By realizing this, Smart Restaurant System has been proposed in this project. The system covers the whole order process of a restaurant including the interaction between the customer, the waiter, the kitchen, and the cashier through wireless devices. By implementing this system we assure a hygienic food service system. We can reduce the time between the order and delivery process. As the order process will be done by the wireless system so there is no need for a waiter which helps to reduce the manpower of the restaurant system. The restaurant owner will be able to maintain the restaurant smoothly even during the pick hour. We have used Arduino NANO which controls the main function of the management system. An obstacle sensor system has been implemented so that it can sense the arrival of food and can stop by itself at the proper destination. We also used a conveyor belt by which the food arrives from the kitchen to the customer. The conveyor belt is run by a forward and reverse bias dc motor. For this, we used a motor driver module. Bluetooth module is used in wireless connection system. To avoid the use of regular menu system we used LCD and TFT displays for displaying the menu and placing the order. Alongside with all of this, we used other equipment necessary for the system. © 2023 ieee.

关键词： Belt conveyors

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Aligning AI-Led Smart Manufacturing with SDGs for Poverty Reduction 1

Aligning AI-Led Smart Manufacturing with SDGs for Poverty Re...

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1st ieee Karachi Section Humanitarian Technology conference, Khi-HTC 2024

作者： Abrar-Ul-Haq, Muhammad Sankar, Jayendira P Akram, Farheen Islam, Gazi Md Nurul Malik, Hafiz Abid Mahmood Akram, Kashif University of Bahrain College of Business Administration Department of Economics & Finance Zallaq Bahrain University of Technology Bahrain College of Administrative and Financial Sciences Salmabad Bahrain Universiti Tun Abdul Razak Graduate School of Business Kuala Lumpur Malaysia Florida International University Knight Foundation School of Computing and Information Sciences Miami United States Institute of Business Management and Administration Sciences the Islamia University of Bahawalpur Bahawalpur Pakistan

ISBN: (纸本)9798350373042

This study explores the intersection of smart manufacturing and the Sustainable Development Goals (SDGs) from a poverty reduction perspective. Smart manufacturing refers to the integration of advanced technologies, such as automation, artificial intelligence, and data analytics, into the manufacturing sector to improve productivity, efficiency, and sustainability. The SDGs, adopted by the United Nations in 2015, provide a comprehensive framework to address global challenges, including poverty eradication. This study examines how smart manufacturing can reduce poverty by aligning with the SDGs. It investigates the potential of smart manufacturing technologies to create employment opportunities, enhance income levels, and improve living conditions in low-income communities. By leveraging advanced technologies, smart manufacturing can facilitate the transformation of traditional industries, enable the growth of small and medium-sized enterprises (SMEs), and promote inclusive economic development. The study employs a multidisciplinary approach, drawing on literature from the fields of engineering, economics, and sustainable development. It explores case studies from various regions and industries to provide empirical evidence of the impact of smart manufacturing on poverty reduction. Also, it examines the challenges and barriers that need to be addressed to ensure that the benefits of smart manufacturing are equitably distributed and reach those most in need. The findings of this study contribute to both academia and policymaking. They provide insights into how smart manufacturing can be harnessed to achieve the SDGs, particularly the goal of poverty reduction. The study highlights the importance of technological innovation and its potential to create inclusive and sustainable economic growth. It also offers recommendations for policymakers, industry stakeholders, and development organizations on how to leverage smart manufacturing to address poverty and promote sustain

关键词： Sustainable development

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Optimal Allocation of distributed Generation Using Modified Grey Wolf Optimizer 1

Optimal Allocation of Distributed Generation Using Modified ...

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1st ieee international conference on Automation, computing and Renewable systems, ICACRS 2022

作者： Altayara, Ibrahim Alkhaleel Al-Ammar, Essam A. Ghazi, Ghazi A. Katheri, Ahmed A.A.L. Electrical Engineering Dept. K.A.CARE Energy Research and Innovation Center Faculty of Engineering King Saud University Riyadh Saudi Arabia

ISBN: (纸本)9781665460842

In this paper a case study is performed to optimally allocate real power injections at unity power factor as DG on the ieee 33 bus radial distribution system using a modified Grey Wolf Optimization method. The study is performed in MATLAB. The main objective of this study is to explore the effectiveness of using the modified algorithm in improving the system voltage profile and in reducing the total system line losses. The objective function is modeled as the total system line losses which shall be subject to equality constraints in power-flow and inequality constraints in voltage level. The obtained results are then compared to the outputs from using other optimization techniques including the classical grey wolf optimizer method as well as other metaheuristic methods such as Particle Swarm Optimization, and Bat algorithms. Furthermore, two runs are performed for each of the modified algorithm as well as the classical algorithm to investigate the effect of tightening the voltage constraint has on the algorithms' performances. © 2022 ieee

关键词： distributed power generation

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Optically Controlled Microwave sensor for Biomedical Applications 1

Optically Controlled Microwave Sensor for Biomedical Applica...

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1st ieee international conference on Automation, computing and Renewable systems, ICACRS 2022

作者： Majeed, Maryam Sami Çevik, Mesut Electrical and Computer Engineering Altinbas University Turkey Quarter Baghdad Iraq

ISBN: (纸本)9781665460842

In this paper, a design of a microwave resonator is introduced for noninvasive blood glucose biomedical sensing. The proposed sensor is constructed from a printed transmission line of 50Ω characteristics impedance. The transmission line is loaded with a meander line of a sweep penny elegance chaos. The structure is splitted into two symmetric parts that are connected to each other through a light dependent resistor (LDR). The to maximize the field fringing through the sample under test, an interdigital capacitor is introduced in parallel to the meander line structure. The proposed sensor is found to provide multiple frequency resonances. However, the authors considered the frequency resonance at 3.46GHz to ensure the effective resonance of the detection with changing the blood glucose level. Therefore, the proposed sensor is fabricated and tested experimentally with 100 patients to realize the effects of varying the blood glucose level up on the proposed sensor transmission loss spectra in terms is of S 11 magnitude. The proposed sensor performance is tested and optimized using circuit model theory. Next, the design performance is validated numerically using Computer S imulation Technology of Micro Wave S tudio (CS T MWS) commercial software package of finite integral technique algorithm. Finally, the experimental and theoretical results are found in good agreement to each other. © 2022 ieee

关键词： Microwave resonators

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Enhanced Cybersecurity: Development and Evaluation of a Secure Data Sharing Paradigm Based on Blockchain Technology 1

Enhanced Cybersecurity: Development and Evaluation of a Secu...

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1st international conference on Electronics, Communication and Signal Processing, ICECSP 2024

作者： Geetha, R. Vijayanandh, T. Ananthi, S.N. Mercilin Raajini, X. Divya Sundar, V.S. Kumari Deepika, P. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of EEE Tamil Nadu Chennai India School of Computing Vel Tech Rangarajan Dr. Sagunthala R and D Institute of Science and Technology Department of CSE Tamil Nadu Chennai India S.A Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India Saveetha Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India St. Joseph's College of Engineering Department of Artificial Intelligence and Data Science Tamil Nadu Chennai India

ISBN: (纸本)9798350364590

As time goes on and technology gets better, various data-sharing technologies are becoming more and more integrated into many different businesses. Therefore, data exchange and security are crucial for the data's value to be realized. Nevertheless, it is challenging to verify the authenticity of a basic data sharing method in order to detect electronic data usage traces. An further difficulty is the reluctance of data suppliers to provide their data. Employing Blockchain's distributed ledger, smart contract, data trust, and traceability features. For the purpose of facilitating secure access to data, this study introduces a blockchain-based data-sharing architecture that optimizes to circumvent the security and control issues associated with traditional centralized data sharing and administration. In addition, the research evaluates the practicality and safety of the prototype. Furthermore, this paper proposes a Secured Data Management Scheme (SDMS) that utilizes blockchain technology to optimize data sharing efficiency. To assess the efficacy of this model, it is cross-validated with the conventional Data Privacy Handler (DPH) method. While present centralized security solutions fail to meet security requirements in an IoT setting, blockchain technology provides a decentralized solution. Through the use of a blockchain and a WiFi-enabled network model, this article seeks to offer a secure communication framework for Internet of Things (IoT) devices. According to the results, attitudes and character quirks have a role in how the intelligence community plans to use a blockchain-based data-sharing model for integrating systems. This research demonstrated the viability of using blockchain technology in an intelligence community-centric data-sharing strategy. © 2024 ieee.

关键词： Data consistency

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Towards Internet of Things: Integration of Wireless sensor Network to Cloud Services for Data Collection and Sharing 1

Towards Internet of Things: Integration of Wireless Sensor N...

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1st ieee international conference on Automation, computing and Renewable systems, ICACRS 2022

作者： Anil Kumar, N. Vijayalakshmi, S. Baswaraj, D. Selvarajan, Padmanayaki Chandramohan, S. Tiwari, Mohit Department Electronics & Instrumentation Engineering Sree Vidyanikethan Engineering College Tirupati India Department of ECE R.M.K. Engineering College India Department of CSE Vasavi College of Engineering Ibrahimbagh Hyderabad India Department of Information Technology and Security Jazan University Jazan Saudi Arabia Department of ECE Sri Chandrasekarendra Saraswathi Viswa Mahavidyalaya Kanchipuram India Department of CSE Bharati Vidyapeeth's College of Engineering Delhi India

ISBN: (纸本)9781665460842

Web applications with special computation and storage requirements benefit greatly from the cloud computing model. With an extensible and flexible architecture, Wireless sensor Networks are integrated with the Cloud. It is possible to directly integrate REst-based Web services into other application domains, such as e-health care, smart homes, and even vehicular area networks (VANs). An IP-based WSN testbed has been used to implement a proof of concept REst API web service for accessing data from anywhere using a REst API. When monitoring data exceeds values or events of interest, users will receive notifications by email or tweet. © 2022 ieee

关键词： Web services

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