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检索条件"机构=Dept. of Computer & Electrical Engineering and Computer Science"

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Hydrogen powered microgrid for EV charging stations load flow analysis and optimization 21

Hydrogen powered microgrid for EV charging stations load flo...

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21st International Learning and Technology Conference, L and T 2024

作者： Alammari, Eithar Alamro, Joud Alashwali, Sara Hassan, Rana Muthanna, Lina Barkat, Enfel Effat University Dept. of Electrical & Computer Engineering Jeddah Saudi Arabia

ISBN: (纸本)9798350393569

This paper presents an exhaustive analysis of power flow optimization within an IEEE 33-bus microgrid system using Particle Swarm Optimization (PSO) and compares it with traditional Optimal Power Flow (OPF) methods. The PSO approach is evaluated based on its effectiveness in reducing real and reactive power losses and enhancing overall system efficiency, particularly when integrated with renewable energy sources. Our study delves into the intricacies of power system optimization, examining the system's adaptability to load variations and the integration of distributed generation. The performance metrics focus on energy conservation, operational cost, system reliability, and power quality. The results from the PSO are critically assessed against those obtained from the OPF, providing insights into the suitability and effectiveness of each optimization method for modern smart grid applications. © 2024 IEEE.

关键词： Reactive power

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Using Semeru Cloud Compiler to Enhance Cloud-Native Java Application Performance 34

Using Semeru Cloud Compiler to Enhance Cloud-Native Java App...

引用

34th Annual International Conference on Collaborative Advances in Software and Computing, CASCON 2024

作者： Liu, Ryan Shinde, Shreya Tahvildari, Ladan Stoodley, Mark Sundaresan, Vijay Pirvu, Marius University of Waterloo Dept. of Electrical and Computer Engineering Canada IBM Canada

ISBN: (纸本)9798331504830

Java-based applications rely on just-in-time (JIT) compilation to convert bytecode into machine code at run-time to improve throughput. However, JIT compilation is achieved at the cost of additional CPU cycles and memory. In the context of modern cloud, where applications have limited computing resources due to containerization, JIT compilation may potentially become a pain-point. The Semeru Cloud Compiler (SCC) is a promising solution that offloads JIT compilation to a remote cloud compiler to reduce the local overhead of JIT compilation in containers. In this paper, we outline novel research directions to further leverage the advantages of remote cloud compilation by extending the SCC to achieve two goals: (i) reduce application start-up time and (ii) improve JIT compilation decision making. To reduce application start-up time, the proposed enhancement is to extract unused or unlikely to be used Java class files from container images. The SCC can still provide the extracted class files to the client JVM if any turn out to be needed. Our preliminary experiments show that this approach can potentially reduce container image sizes by up to 22.1% and start-up times by up to 9.2% for certain applications. To reduce JIT compilation overhead, the proposed enhancement is to perform dynamic analysis of the Java application using the additional resources on the server-side. In turn, the remote JIT compilation can make more informed decisions regarding which methods to compile and optimizations to apply. We are also developing a novel visualization tool designed to help JIT compiler developers identify pain points in current JIT compilation heuristics. Specifically, we have measured that up to 18.9% of JIT compilations for certain applications may be sub-optimal due to later method inlining, and we are investigating how the SCC could help to avoid these potentially wasted compile-time computations by using information learned from other JVM clients. © 2024 IEEE.

关键词： Program compilers

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An Intelligent Forecasting Classification Model for Traffic Analysis using Machine Learning Techniques 4

An Intelligent Forecasting Classification Model for Traffic ...

引用

4th International Conference on Advances in electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Kishor, Bodla Tiwari, Rajesh Patra, Raj Kumar Pinjakar, Latika Singh, Mahesh Cmr Engineering College Dept. of Computer Science and Engineering Hyderabad India Cmr Technical Campus Dept. of Computer Science and Engineering Hyderabad India Symbiosis Institute of Technology Dept. of Computer Science and Engineering Nagpur India Shri Shankaracharya Technical Campus Dept. of Eee Durg Bhilai India

ISBN: (纸本)9798350343670

In addition to taking care of the normal citizens, Road Traffic protection is also one of the main issue for corporations governing the transportation. We use data mining techniques to get the hidden matter from the database. The applications of Data mining is there in various fields such as fraud detection, marketing and many more. Many countries were affected due to many decisions that were taken by the governments one such issue is globalization. This has brought some drastically changes in the intake level and the financial related activities and this has given a boost to transportation department. Understanding the importance of the street protection the authorities are putting effort to know the reasons behind the street accidents. The increase in the street injuries made it difficult to determine the limitations of the street injuries. This paper explains the street injuries frequency from analysing the database. This work is about 95% efficient. © 2024 IEEE.

关键词： classification data mining machine learning traffic analysis Transportation models

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Use of a Hybrid Storage System for Frequency Regulation Services from a Photovoltaic Plant: Emulating Synchronous Generator Dynamics 3

Use of a Hybrid Storage System for Frequency Regulation Serv...

引用

3rd International Conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2024

作者： Papageorgiou, Pavlos G. Oureilidis, Konstantinos O. Christoforidis, Georgios C. University of Western Macedonia Dept. of Electrical & Computer Engineering Kozani Greece

ISBN: (纸本)9798350375923

The gradual decommissioning of grid-forming synchronous generators and the increasing penetration of grid-following renewable energy sources such as photovoltaics (PVs), undermine the reliable operation of the grid. In this sense, even small power imbalances can cause significant frequency deviations. To address such issues, the employment of standalone battery storage systems is usually proposed to alleviate the power imbalances by releasing/absorbing energy when needed. However, a standalone battery suffers from quick lifetime fading and it cannot effectively provide multiple grid services simultaneously. To this end, this study presents a controller for a hybrid storage system that consists of a power-type superconducting magnetic energy storage (SMES) and an energy-type battery. The hybrid storage system is AC-coupled and provides frequency regulation services on behalf of the PV plant without any modification on its inverter. Through proper control, SMES handles the short-term power fluctuations emulating the inertial properties of a synchronous generator, while battery cope with long-term demands imitating the primary frequency response of the generator. Thus, the distinct features of both SMES and battery are effectively exploited, ensuring minimal stress on battery. To evaluate the proposed method during grid frequency events, simulation results are presented. © 2024 IEEE.

关键词： Synchronous generators

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Advanced Load Flow & Fault Analysis of Renewable Energy Integration in IEEE 9 Bus Power System

Advanced Load Flow & Fault Analysis of Renewable Energy Inte...

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2024 IEEE Global Energy Conference, GEC 2024

作者： Saha, Sajib Alam, Ferdosh Sayada, Rezowana Rahman, Rashedur M. Hasan, A.S.M. Jahid Dept. of Electrical and Computer Engineering North South University Dhaka Bangladesh

ISBN: (纸本)9798331532611

Renewable energy, particularly wind & solar power, plays a crucial role in modern electric power systems due to their environmental benefits, such as reduced carbon emission and air pollution, cost-effectiveness, and potential for expanding energy access. This research focuses on analyzing the load flow analysis, fault analysis, and economic load dispatch of renewable energy integration in different scenarios within an IEEE 9 Bus power system. A fixed-speed wind turbine and a solar PV model are designed and simulated in MATLAB Simulink. We collected data to create a model of the IEEE 9 Bus system in PowerWorld Simulator to add wind and solar energy data to analyze how the system operates load flow under different conditions. Five scenarios were tested to see how the grid performs when various combinations of grid generators, wind, and solar farms are used. The optimization connects ordinary and renewable generators, with the cost function balanced to reflect the zero-fuel cost of renewable sources. Successfully find the most dependable and economic scenario for the best use of all available energy sources, along with wind, solar, and the grid generator, to ensure the system runs efficiently. The power supply stays stable, and the grid generator does not have to work as challenging, which helps optimize renewable energy utilization and offers the most excellent mix of energy sources for cost-effective, clean, and sustainable power generation. ©2024 IEEE.

关键词： Clean energy

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ARNAV: computer vision and Machine Learning-Based Augmented Reality-Based Indoor Navigation System 5

ARNAV: Computer vision and Machine Learning-Based Augmented ...

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5th IEEE International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Sai Suryaa, K. Saravana Kumar, C. Sudharsan, S. Anandkumar, K.M. Easwari Engineering College Dept. of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350383522

Introducing an advanced Augmented Reality (AR) indoor navigation system that uses computer vision for precise positioning and obstacle detection which eliminates the need for GPS. The system is implemented on Android devices using Unity. The system works based on a 3D model of the navigational space that provides the user with unique interior Point of Interests with AR guided overlays for navigation. It uses an advanced mapping and machine learning techniques for real time positioning and obstacle detection. The ARNAV system is independent of GPS making it reliable in complex indoor spaces where GPS fails. Additionally, in emergency situations where there is low visibility the system provides an advanced AR walls feature to guide users to reach the nearest exit by using AR generated walls and overlays. The retrace path feature which is designed especially for patients with cognitive impairments like Alzheimer's which allows the user to retrace the path that they have already traversed using the AR overlay. Additionally, it provides AR based reminders that helps them complete day to day tasks. In conclusion the ARNAV revolutionizes the AR technology to create a safe, dynamic and user centric system that handles emergency evacuation and needs of patients with special cognitive needs. © 2024 IEEE.

关键词： Augmented Reality computer Vision Indoor Navigation System Mobile Application

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Gaze Detection and Text Extraction from Images using CNN with DBSCAN-based Filter Design 11

Gaze Detection and Text Extraction from Images using CNN wit...

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11th IEEE International Conference on Advances in Computing and Communications, ICACC 2024

作者： Jose, Jithin Ramanujan, Ajeesh College Of Engineering Trivandrum Dept. Of Computer Science And Engineering Trivandrum India

ISBN: (纸本)9798350379136

Gaze detection and text extraction are pivotal technologies in the domain of human-computer interaction and computer vision, enabling applications such as assistive technologies, user interface optimization, and automated content analysis. This paper presents a novel method that identifies the user's gaze direction and extracts the necessary portion of text, which constitutes the user's region of interest, using a Convolutional Neural Network (CNN) integrated with a spatial attention mechanism. A Density-Based Spatial Clustering of Applications with Noise (DBSCAN)-based filter is incorporated into the system to remove textual noise from the extracted image, thereby improving the model's accuracy and reducing computation time. The proposed method demonstrates reduced dependency on the CNN compared to previous approaches, resulting in enhanced real-time operation capability and lower latency. Computational optimization and real-time performance were thoroughly evaluated, showing that our system not only achieves high accuracy in gaze detection and text extraction but also maintains efficient processing speeds suitable for dynamic applications. This advancement offers significant improvements for applications in assistive technology, educational tools, and interactive media, where precise and efficient gaze detection and text extraction are critical. © 2024 IEEE.

关键词： Convolutional neural networks

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UAV-Enabled Covert Cross-Technology Communication in Heterogeneous IoT Networks 100

UAV-Enabled Covert Cross-Technology Communication in Heterog...

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100th IEEE Vehicular Technology Conference, VTC 2024-Fall

作者： Xia, Xiaohao Esmat, Haitham H. Lorenzo, Beatriz Goeckel, Dennis University of Massachusetts Amherst Dept. Electrical and Computer Engineering United States

ISBN: (纸本)9798331517786

Heterogeneous Internet of Things (IoT) networks enabled by Unmanned Aerial Vehicles (UAVs) operate in various protocols and spectrum bands (e.g., WiFi, LoRa, Zigbee) to collect and offload data generated from heterogeneous sensors. However, achieving timely and secure communications is challenging due to uncertain data generation, mobility, and location of wardens. This paper presents a collaborative framework that exploits cross-technology communications to achieve covertness constraints. The aim is to minimize the age of covert information (AoCI) and energy consumption by jointly optimizing data scheduling, power allocation, and offloading decisions by collaborating with UAVs. A multi-agent actor-critic algorithm that incorporates federated learning and attention mechanisms (cluster-MAAC-attention) is presented to solve the previous problem. Our simulation results show that our algorithm reduces the worst AoCI by 4 times, and reduces the penalty by 20 times compared to existing schemes. © 2024 IEEE.

关键词： Zigbee

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Utilization of Decentralized Finance (DeFi) and Distributed Ledger Technology (DLT) in Banking operations

Utilization of Decentralized Finance (DeFi) and Distributed ...

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2024 International Conference on Intelligent Computing and Sustainable Innovations in Technology, IC-SIT 2024

作者： Kumar, Ch Sree Singh, Akhilendra Pratap Reddy, K Hemant K National Institute of Technology Meghalaya Dept. of Computer Science Meghalaya India VIT-AP Dept. of Computer Science and Engineering Vijayawada India

ISBN: (纸本)9798350369175

Distributed Ledger Technology (DLT) is a decentralized database system where transactions are recorded and verified across multiple nodes. Its key features include immutability, time-stamping, and consensus-based validation. Numerous DLT applications are in supply chain management, intellectual property, cross border payments, energy trading, real estate, and online donations. DeFi, a combination of cryptocurrency and blockchain technology, offers financial services without intermediaries. Hence transactions with various digital assets based on cryptocurrency price feeds needs an automated framework. Smart contracts, self-executing contracts with terms directly written into code, automate processes and reduce manual intervention. This paper proposes a decentralized financial trading model using the AAVE protocol. AAVE is a decentralized platform that allows for transactions with various digital assets based on cryptocurrency price feeds. Proposed model uses Chainlink, a decentralized oracle network, to provide accurate and reliable price feeds. IPFS is used for data storage, while Graph is employed for indexing and querying blockchain data. The paper presents an example of a DeFi protocol to simulate banking operations, showcasing the potential of DeFi and DLT in revolutionizing traditional banking processes. © 2024 IEEE.

关键词： Distributed ledger

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Effective Energy Management Strategies Evaluation for Small Hybrid Fuel Cell Powered Vessels 5

Effective Energy Management Strategies Evaluation for Small ...

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5th IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2024

作者： Nivolianiti, Evaggelia Karnavas, Yannis L. Democritus University of Thrace Dept. of Electrical & Computer Engineering Xanthi Greece

ISBN: (纸本)9798350352863

Hybrid fuel cell power systems have demonstrated their ability to lower fuel consumption and enhance transportation performance. However, efficient power transfer between the energy storage system (ESS) and fuel cell is crucial. This study explores the comparative performance of three energy management strategies -optimization-based, rule-based and control-based- for a hydrogen-powered small vessel. The focus is on optimizing fuel efficiency, specifically hydrogen consumption, under river-trip operating conditions. According to simulation results, the most effective energy management method for lowering fuel usage is that relied on control mechanisms. This method's real-time adaptive control, which efficiently balances fuel cell and ESS utilization, accounts for its superior performance. © 2024 IEEE.

关键词： Hydrogen storage

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