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2024 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2024

作者： Ali, Ahmad Cui, Hantao Wang, Wenbo Fang, Xin Oklahoma State University School of Electrical & Computer Engineering StillwaterOK United States Energy System Integration National Renewable Energy Laboratory GoldenCO United States Mississippi State University Dept. of Electrical & Computer Engineering StarkvilleMS United States

ISBN: (纸本)9798350316377

The recent proliferation of distributed energy resources (DERs) in the power network along with the retirement of conventional generators has made it challenging to regulate system frequency. This paper presents a centralized control framework to leverage the potential of DERs in the distribution network to provide secondary frequency control services to the grid. The proposed framework is based on network volt-watt sensitivity analysis and takes into account DER operational and network-imposed constraints to allocate the automatic generation control (AGC) request among the aggregated units. The proposed framework was implemented on the IEEE 8,500-node test feeder and the results were validated against a standard linear programming-based scheme. Numerical results indicate that the proposed framework can successfully utilize the available power production headroom of the network to meet the AGC request while maintaining nodal voltages within acceptable limits. © 2024 IEEE.

关键词： Virtual Power Plants

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Fabrication and Database Management of Cubesat

Fabrication and Database Management of Cubesat

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2024 IEEE International Students' Conference on Electrical, Electronics and computer Science, SCEECS 2024

作者： Khulal, Nibesh Mergoju, Bhanu Kiran Ranganayakulu, S.V. Guru Nanak Institutions Technical Campus Dept. of Computer Science Engineering Hyderabad India Guru Nanak Institutions Technical Campus Dept. of Mechanical Engineering Hyderabad India Guru Nanak Institutions Technical Campus Research & Development Hyderabad India

ISBN: (纸本)9798350348460

The continuous evolution of technology necessitates the creation of cutting-edge innovations for the betterment of mankind. One remarkable achievement that emerged in 1999 is the concept of CubeSats, drastically reducing the cost of satellite development and launch, leading to numerous space experiment applications. CubeSats have emerged as a groundbreaking solution in the realm of satellite technology, comprising modular cubic units, each measuring 10cm x 10cm x 10cm. This standardized form factor enables unparalleled flexibility in design, empowering researchers and institutions to customize CubeSats for diverse missions. This paper presents the conceptualization and development of a CubeSat equipped with an advanced environmental parameter sensing system, including temperature, pressure, humidity, altitude, accelerometer, and gyroscope. The collected data is efficiently stored in a centralized XAMMP database management system, functioning as a compact ground station server. With externally mounted antennas and a dedicated onboard microcontroller, the CubeSat boasts an innovative local database system, offering unparalleled features. These CubeSats offer an affordable means of implementing coordinated sensing, low-bandwidth communications, and efficient local database management. The cost-effective local database management server provides compelling evidence that local database systems are a viable and dependable means of storing and maintaining mission-critical data for cube satellites. By showcasing the potential of small-scale satellite projects, this development empowers individuals and educational institutions to participate in hands-on space exploration, fostering creativity and inspiring future generations of space enthusiasts. © 2024 IEEE.

关键词： Cubesat local database management mission-critical data Sensors Space XAMPP Server

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Exploring the Capabilities and Limitations of Generative AI Applications, Challenges, and Future Directions

Exploring the Capabilities and Limitations of Generative AI ...

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2025 International Conference on Pervasive Computational Technologies, ICPCT 2025

作者： Singh, Gulbir Meenakshi Sharma, Poonam Bhardwaj, Anjul Graphic Era Hill University Department of Computer Science and Engineering Haldwani Campus Uttarakhand Nanital India Mmict&bm Mullana Haryana Ambala India Divine Institute of Management & Studies Dept. of Computer Application Ziradei Bihar Siwan India

ISBN: (纸本)9798331508685

Unprecedented capabilities for content generation, predictive analytics, and automation are made available by the introduction of Generative Artificial Intelligence (AI) technologies, which uses in a new age of industrial innovation. The purpose of this study is to investigate the transformational potential of generative AI from the perspective of exploring its capabilities and limitations and highlighting its role in the development of future technological developments. With the help of this study, we want to highlight important unsolved issues in contemporary generative AI paradigms. These challenges need to be addressed in order to further improve the capabilities, variety, and dependability of these concepts. Our goal is to give researchers with significant insights that will allow them to explore successful research areas, which will ultimately lead to the creation of generative AI systems that are more robust and accessible. © 2025 IEEE.

关键词： Generative adversarial networks

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Empirical Analysis of Sentence Embedding Techniques for Answer Retrieval in Marathi Question Answering 6

Empirical Analysis of Sentence Embedding Techniques for Answ...

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6th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2022

作者： Joshi, Shubhamkar Kasliwal, Jaynesh Verma, Devika Kharate, Namrata Chavhan, Pranali Institute of Information Technology Dept. of Computer Engineering Vishwakarma Pune India

ISBN: (数字)9781665469418

ISBN: (纸本)9781665469418

It is vital that any type of text can be portrayed in a machine-readable language so that it can be processed and interpreted. Text embeddings, which allow a machine to interpret any type of text by mathematically expressing it, naturally minimise this work. To extract the concept of interdependence across words or sentences, the degree of connection, synonym recognition, idea segmentation, selectional preferences, and analogies, text embedding are very useful. Using closest neighbor lookup of vectors, a vector representation of a text in a semantic vector space may be utilized for answer retrieval according to the vectors' similarity and proximity. Traditional QA systems require a huge number of high-quality language-specific resources to perform multiple activities. The precision of several embedding techniques presently supporting Marathi, an Indo-Aryan language, is explored in this research. The performance of several sentence embedding algorithms is evaluated to select the most relevant and related answer text within the corpus given a natural language query in Marathi. Pragmatic tests are performed across supervised machine learning models to perform categorization and sentence embeddings in order to evaluate and compare the veracity of various embedding techniques. The proposed research findings concentrate on identifying the most effective embedding approaches from the restricted resources available for the Marathi language, laying the groundwork for future study in this language. © 2022 IEEE.

关键词： Embeddings

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Quantum Network Routing with Heterogeneous Nodes

Quantum Network Routing with Heterogeneous Nodes

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International Communication systems and Networks and Workshops, COMSNETS

作者： Anoop Kumar Pandey Bheemarjuna Reddy Tamma M V Panduranga Rao Dept. of Computer Science and Engineering IIT Hyderabad India

ISBN: (数字)9798331531195

ISBN: (纸本)9798331531201

Deciding a route for the transfer of quantum information (namely, qubits) on a quantum network is a significant problem that is being studied extensively. In this work, we investigate the problem of routing on a quantum network of heterogeneous nodes both with and without fidelity and timing *** propose a Path Request Packet (PRP) based routing scheme for dynamically selecting a path that maximizes the overall probability of transmission success while maintaining fidelity above a threshold and adhering to time constraints. While the proposed scheme can perform suboptimally under fidelity and timing constraints, we discuss a straightforward proof of optimality in the absence of these constraints. Simulations on random graphs demonstrate that the PRP-based scheme performs better, both in terms of reliability and fidelity, than a non-trivial baseline routing algorithm.

关键词： Qubit Routing Timing Error correction Quantum networks Time factors Reliability

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The Importance of Robust Features in Mitigating Catastrophic Forgetting 28

The Importance of Robust Features in Mitigating Catastrophic...

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28th IEEE Symposium on computers and Communications, ISCC 2023

作者： Khan, Hikmat Bouaynaya, Nidhal C. Rasool, Ghulam Rowan University Dept. of Electrical and Computer Engineering GlassboroNJ United States Moffitt Cancer Center Dept. of Machine Learning TampaFL United States

ISBN: (纸本)9798350300482

Continual learning (CL) is an approach to address catastrophic forgetting, which refers to forgetting previously learned knowledge by neural networks when trained on new tasks or data distributions. The adversarial robustness has decomposed features into robust and non-robust types and demonstrated that models trained on robust features significantly enhance adversarial robustness. However, no study has been conducted on the efficacy of robust features from the lens of the CL model in mitigating catastrophic forgetting in CL. In this paper, we introduce the CL robust dataset and train four baseline models on both the standard and CL robust datasets. Our results demonstrate that the CL models trained on the CL robust dataset experienced less catastrophic forgetting of the previously learned tasks than when trained on the standard dataset. Our observations highlight the significance of the features provided to the underlying CL models, showing that CL robust features can alleviate catastrophic forgetting. © 2023 IEEE.

关键词： Learning systems

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UVL Sentinel: a tool for parsing and syntactic correction of UVL datasets

arXiv

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arXiv 2024年

作者： Romero-Organvidez, David Galindo, Jose A. Benavides, David Dept. of Computer Languages and Systems University of Seville Seville Spain

Feature models have become a de facto standard for representing variability in software product lines. UVL (Universal Variability Language) is a language which expresses the features, dependencies, and constraints between them. This language is written in plain text and follows a syntactic structure that needs to be processed by a parser. This parser is software with specific syntactic rules that the language must comply with to be processed correctly. Researchers have datasets with numerous feature models. The language description form of these feature models is tied to a version of the parser language. When the parser is updated to support new features or correct previous ones, these feature models are often no longer compatible, generating incompatibilities and inconsistency within the dataset. In this paper, we present UVL Sentinel. This tool analyzes a dataset of feature models in UVL format, generating error analysis reports, describing those errors and, eventually, a syntactic processing that applies the most common solutions. This tool can detect the incompatibilities of the feature models of a dataset when the parser is updated and tries to correct the most common syntactic errors, facilitating the management of the dataset and the adaptation of their models to the new version of the parser. Our tool was evaluated using a dataset of 1,479 UVL models from different sources and helped semi-automatically fix 185 warnings and syntax errors. © 2024, CC BY.

关键词： Syntactics

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The Strategy on Artificial Neural Networks for Predicting Advanced Packaging Reliability Under Small Dataset 23

The Strategy on Artificial Neural Networks for Predicting Ad...

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23rd International Conference on Electronics Packaging, ICEP 2024

作者： Su, Qinghua Yuan, Cadmus Chiang, K.N. National Tsing Hua University Advanced Microsystem Packaging And Nano-Mechanics Research Lab Taiwan Dept. Of Power Mechanical Engineering Hsinchu300 Taiwan Feng Chia University Dept. Of Mechanical And Computer-Aided Engineering Taichung407 Taiwan

ISBN: (纸本)9784991191176

Applying AI-assisted design on simulation (AI-DoS) requires sufficient training database that is generated by a validated, parametric nonlinear finite element model. This study focuses to investigate a training database design method to achieve the balance between the AI model training accuracy and the computational efforts of the FE model execution. Considering the importance of training data, we will use the K-Medoids to select data points for training set. Due to small data, ensemble learning is introduced to enhance the prediction performance of the ANN model. © 2024 Japan Institute of Electronics Packaging.

关键词： Neural networks

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Pull-Based Query Scheduling for Goal-Oriented Semantic Communication

arXiv

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arXiv 2025年

作者： Agheli, Pouya Pappas, Nikolaos Kountouris, Marios Communication Systems Dept. EURECOM France Dept. of Computer Science and Artificial Intelligence University of Granada Spain Dept. of Computer and Information Science Linköping University Sweden

This paper addresses query scheduling for goal-oriented semantic communication in pull-based status update systems. We consider a system where multiple sensing agents (SAs) observe a source characterized by various attributes and provide updates to multiple actuation agents (AAs), which act upon the received information to fulfill their heterogeneous goals at the endpoint. A hub serves as an intermediary, querying the SAs for updates on observed attributes and maintaining a knowledge base, which is then broadcast to the AAs. The AAs leverage the knowledge to perform their actions effectively. To quantify the semantic value of updates, we introduce a grade of effectiveness (GoE) metric. Furthermore, we integrate cumulative perspective theory (CPT) into the long-term effectiveness analysis to account for risk awareness and loss aversion in the system. Leveraging this framework, we compute effect-aware scheduling policies aimed at maximizing the expected discounted sum of CPT-based total GoE provided by the transmitted updates while complying with a given query cost constraint. To achieve this, we propose a model-based solution based on dynamic programming and model-free solutions employing state-of-the-art deep reinforcement learning (DRL) algorithms. Our findings demonstrate that effect-aware scheduling significantly enhances the effectiveness of communicated updates compared to benchmark scheduling methods, particularly in settings with stringent cost constraints where optimal query scheduling is vital for system performance and overall effectiveness. Copyright © 2025, The Authors. All rights reserved.

关键词： Risk assessment

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Design of a Simple Tools for Record and Payment of Passengers in City Bus 7

Design of a Simple Tools for Record and Payment of Passenger...

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7th International Conference on Electric Vehicular Technology, ICEVT 2022

作者： Oktivasari, Prihatin Zain, Ayu Rosyida Agustin, Maria Sulaiman, Nur Fauzi Anshor, Muhammad Fabian Fahroji, Muhammad Fatih Karim, Muhammad Arysil Putra, Andika Dwi Politeknik Negeri Jakarta Dept. of Informatics and Computer Engineering Depok Indonesia

ISBN: (数字)9781665409421

ISBN: (纸本)9781665409421

The development and progress of the means of transportation are needed for people to mobilize all activities However, currently conventional public transportation such as urban transportation has become less attractive to the public because of all the factors that cause people not to choose conventional transportation over online-based public transportation. The mechanism of the cost for urban transport is still not by with the passenger route using the city transportation service, for which a passenger record system is established to be able to determine the route of passenger location and the data of each passenger who wishes to ride to use the transportation services of the city, as well as the cost system travel passenger city transportation can be set and set according to the distance of travel from passengers. The system of passenger record method and system control of notification with device and application for public transportation payment consists of components such as Arduino to control and manage RFID RC522 system data to read RFID tag, Real Time Clock (RTC) DS1307 to activate the clock and dates in real-Time, Passive Infrared (PIR) module sensors to detect human presence and desktop applications for charging balances and website applications for databases. © 2022 IEEE.

关键词： Clocks

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