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A Ship Fire Monitoring and Alarm System Based on A distributed Configuration 3

A Ship Fire Monitoring and Alarm System Based on A Distribut...

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2023 3rd international conference on Mechatronics, Automation and Intelligent Control, MAIC 2023

作者： Liu, Pengfei 713th Research Institute of China State Shipbuilding Corporation Limited Zhengzhou China

This article conducts innovative research based on distributed fire monitoring and alarm systems. It consistst of six FDS Control Panels, connected by a redundant Ethernet network, to ensure that all the FDS Control Panels can receive and transmit the relevant data. This connection is provided with redundant backup using a secondary channel of communication for use when the main channel is not working due to failure or cable damage. © Published under licence by IOP Publishing Ltd.

关键词： Alarm systems

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Voice Command Fingerprinting: An in-Depth Examination of Challenges and Issues 3

Voice Command Fingerprinting: An in-Depth Examination of Cha...

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3rd IEEE international conference on Industrial Electronics: Developments and Applications, ICIDeA 2025

作者： Singh, Paras Nath Mathews, Ann Antu, Anisha Suryanarayana, Ch.V.S. GMR Institute of Technology Department of CSE Rajam532127 India CMR Institute of Technology Department of CSE Bengaluru560037 India Federal Institute of Sc. & Technolgy Department of CSE Kerala Angamaly683577 India Mallareddy Engg. College Maisammaguda Department of CSE-AIML Secundrabad500100 India

ISBN: (纸本)9798331533205

Voice assistant systems.have gained widespread adoption across diverse sectors, including electronics, healthcare, automotive, and retail. Spoken Language Understanding is essential for voice-text interaction systems. Security researchers have already identified vulnerabilities in encrypted network traffic, particularly in the context of traffic analysis, enabling the network-level adversaries to infer the websites visited by users. This security threat, common in traditional web communication, extends to Website Fingerprinting attacks in voice query communication, giving rise to the concept of Voice Command Traffic Fingerprinting. This paper analyses the features, challenges and linguistic properties of VCF(Voice Command Fingerprinting) considering various features. A detailed analysis reveals that the proposed models for voice command categories and factors are more capable to handle the issues. The results and methods in this paper pave the way for further research on the secured models in voice command processing in. The Python tools like Tensor-flow, Scikit-learn and specially Pyttsx3 have been used for generating and filtering datasets. An CTC-Attention-based hybrid model recurrent unit which effectively combine the two models. The proposed model achieves over 99.7% accuracy. © 2025 IEEE.

关键词： distributed computer systems

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3rd international conference on Modeling and Simulation of Social-Behavioral Phenomena in Creative Socities, MSBC 2024

3rd International Conference on Modeling and Simulation of S...

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3rd international conference on Modeling and Simulation of Social-Behavioral Phenomena in Creative Socities, MSBC 2024

ISBN: (纸本)9783031722592

The proceedings contain 16 papers. The special focus in this conference is on Modeling and Simulation of Social-Behavioral Phenomena in Creative Socities. The topics include: A Signed Network Model of the Interaction Between Religious Movements and Authority in Judea;digital Society and Social Conflicts: A Science Map of the Field;on Strong Solutions in Linear Programming Problems with a Fuzzy Goal;sustainable Cooperation in a Bicriteria Game of Renewable Resource Extraction;Using the RoBERTa and T5 Models for Analyzing Texts in Uzbek: NER Tasks and Punctuation Prediction;algorithmic Strategies for stemming Complex Word from Uzbek to English in Machine Translation;research on the Impact of Social Networks on the Development of Bilingualism in Kazakhstan;A Comparative Analysis of LSTM and BERT Models for Named Entity Recognition in Kazakh Language: A Multi-classification Approach;Collection and Preprocessing of Data for LLM in the Kazakh Language in the Field of Legislation;model of Innovation-Based Economy Within the New Paradigm During the Relevant Economic Transformation;optimization of an Enterprise System Structure Based on the Concept of Multipolar Management;ethnic Nation Index;quantifying of Governance and Sectoral Policy History: Assessing General Education Efficiency in Lithuania in 1990–2020;investment Strategies and Private Interests in the Hierarchical Management systems.

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3rd EAI international conference on Cognitive computing and Cyber Physical systems. IC4S 2022

3rd EAI International Conference on Cognitive Computing and ...

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3rd EAI international conference on Cognitive computing and Cyber Physical systems. IC4S 2022

ISBN: (纸本)9783031289743

The proceedings contain 22 papers. The special focus in this conference is on Cognitive computing and Cyber Physical systems. The topics include: Performance Evaluation of Fast DCP Algorithm for Single Image Dehazing;Non Destructive Analysis of Crack Using Image Processing, Ultrasonic and IRT: A Critical Review and Analysis;ioT Enabled Driver Compatible Cost-Effective System for Drowsiness Detection with Optimized Response Time;Voice Based Objects Detection for Visually Challenged Using Active RFID Technology;depth Estimation and Navigation Route Planning for Mobile Robots Based on Stereo Camera;Water Level Forecasting in Reservoirs Using Time Series Analysis – Auto ARIMA Model;water Quality Monitoring Using Remote Control Boat;study of Smart City Compatible Monolithic Quantum Well Photodetector;frequency Reconfigurable Antenna for 5G Applications at n77 and n78 Bands;solar Energy Prediction using Machine Learning with Support Vector Regression Algorithm;analysis of Acoustic Channel Model Characteristics in Deep-Sea Water;A Comprehensive Review on Channel Estimation Methods for Millimeter Wave MIMO systems.comparison of Acoustic Channel Characteristics in Shallow and Deep-Sea Water;price Estimation of Used Cars Using Machine Learning Algorithms;Machine Learning Framework for Identification of Abnormal EEG Signal;alzheimer’s Disease Detection Using Ensemble of Classifiers;publishing Data Objects in Data Aware Networking;youTube Comment Analysis Using Lexicon Based Techniques;Information Theoretic Heuristics to Find the Minimal SOP Expression Considering Don’t Care Using Binary Decision Diagrams;single Image Dehazing Through Feed Forward Artificial Neural Network.

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3rd international conference on Advanced computing and Intelligent Technologies, ICACIT 2023

3rd International Conference on Advanced Computing and Intel...

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3rd international conference on Advanced computing and Intelligent Technologies, ICACIT 2023

ISBN: (纸本)9789819719600

The proceedings contain 44 papers. The special focus in this conference is on Advanced computing and Intelligent Technologies. The topics include: A Structured Literature Review and Meta-analysis of Forecasting Methods for Energy Consumption in Smart Buildings;document Summarization Leveraging Modified LexRank Algorithm;a Blockchain-Based Approach to Improve Data Integrity in Federated Cloud Environment;performance Analysis of Hybrid Cryptographic Algorithms in Serverless Platforms;intensifying Cross Architecture Cyber-Resilience System with Descriptive Malware Analysis;Challenges and Solutions in Integrating Narrowband IoT with Edge computing: Resource Constraints, Security, Latency, and IDS Deployment;an Automatic Brick Grading System Using Convolutional Neural Network: Bangladesh Perspective;optimization, Modelling and Evaluation of Marshall Stability of Asphaltic Concrete with Agricultural and Industrial Wastes Through Response Surface Method;a Query-Based Approach to Mitigate the Shortcomings of Widely Used Learning Methods Through E-Learning;navigating the Waters of Image Watermarking: A Neural Network-Centric Review;evaluation of Group Chats Using Exploratory Data Analysis;finTech Revolution in Bharat;a Review of 3D Avatar Reconstruction for Virtual Conferencing;real-Time Food Simulation Using Real Hand Gesture for Malaysia Cultural Heritage;feature Selection Using Chi-Squared Feature-Class Association Model for Fake Profile Detection in Online Social Networks;classification and Identification of Weeds Using Gradient Boosting Classifiers;enhancing Accuracy and Efficiency in Diabetic Retinopathy Detection: A Deep Learning Framework for Fundus Image Analysis;Enhancing Brain MRI Tumor Detection: Exploring Vision Transformers and Fine-Tuned Convolutional Neural Network Architecture for Improved Performance;bitcoin Price Prediction Using Sentiment Analysis;a Blockchain-Based Model to Enhance the Traceability and Transparency of Drug Supply Chain.

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distributed Denial of Services (DDoS) Botnet Attack Prevention in Internet of Things (IoT) Devices Using AI 3

Distributed Denial of Services (DDoS) Botnet Attack Preventi...

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3rd international conference on Smart Generation computing, Communication and Networking, SMART GENCON 2023

作者： Garg, Kaushiv Gill, Kanwarpartap Singh Chauhan, Rahul Rawat, Devyani Banerjee, Deepak Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Graphic Era Hill University Computer Science and Engineering Uttarakhand Dehradun India

ISBN: (纸本)9798350319125

The expeditious adoption of Internet of Things (IoT) devices has facilitated the emergence of complex cybersecurity risks, notably distributed Denial of Service (DDoS) botnet assaults, which pose a substantial danger. With the exponential growth of interconnected devices inside the Internet of Things (IoT), the task of identifying malicious linkages becomes more challenging. The identification of these hazards has significant importance for intrusion detection systems.(IDS), with the use of machine learning (ML) having been a prevailing practice due to the continuous advancement of cyberattacks. In order to effectively combat such dangers, it is essential that machine learning technologies has the capability to observe a diverse range of attack patterns, hence illustrating the intricacies involved in targeting network traffic. Regrettably, a significant portion of the datasets accessible to the machine learning community lack comprehensive representation of well recognized attack patterns. This is particularly true for datasets pertaining to distributed Denial of Service (DDoS) attacks, such as ACK and PUSH-ACK floods. The objective of this project is to address the existing disparity by curating a compilation of assault approaches that are underutilized. This dataset provides IDS developers with the necessary resources to enhance their detection rates. This research work enhances the security of IoT devices against DDoS botnet assaults, hence contributing to the overall safety of the IoT ecosystem. © 2023 IEEE.

关键词： ACK and PUSH-ACK Botnet Atack distributed Denial of Services (DDoS) Internet of Things (IoT) Intrusion Detection System Machine Learning

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distributed photovoltaic hosting capacity assessment technology considering stable operation of distribution network 3

Distributed photovoltaic hosting capacity assessment technol...

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2024 3rd international conference on Energy Utilization and Automation, ICEUA 2024

作者： Zheng, Qiangren Wu, Ming Hu, Lijuan Li, Baoju Wang, Yunhui Guo, Miao Zheng, Nan State Grid Jilin Electric Power Co. Ltd. Yanbian Power Supply Company Jilin Yanbian133000 China State Grid Shanghai Energy Internet Research Institute Co. Ltd. Beijing100192 China State Grid Jilin Electric Power Co. Ltd. Changchun133000 China

The rise of distributed photovoltaic (PV) in recent years has enhanced the sustainability, reliability, and flexibility of power systems. However, excessive PV access beyond the distribution network's hosting capacity can jeopardize grid security and stability. This paper proposes a data-driven assessment method for PV carrying capacity, ensuring optimal integration while considering operational stability. Detailed analysis of a specific distribution network validates the method's efficacy, leveraging network data for accurate evaluation. The approach holds promise for widespread adoption and large-scale application. © Published under licence by IOP Publishing Ltd.

关键词： Electric power distribution

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13th Workshop on Software Engineering for Resilient systems. SERENE 2022, 3rd Worskhop on Dynamic Risk Management for Autonomous systems. DREAMS 2022, 3rd Workshop on Artificial Intelligence for Railways, AI4RAILS 2022, held at the 18th European Dependable computing conference, EDCC 2022

13th Workshop on Software Engineering for Resilient Systems,...

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13th Workshop on Software Engineering for Resilient systems. SERENE 2022, 3rd Worskhop on Dynamic Risk Management for Autonomous systems. DREAMS 2022, 3rd Workshop on Artificial Intelligence for Railways, AI4RAILS 2022, held at the 18th European Dependable computing conference, EDCC 2022

ISBN: (纸本)9783031162442

The proceedings contain 11 papers. The special focus in this conference is on Software Engineering for Resilient systems. The topics include: Continuous, Systematic Risk Mapping of Roads as an Input for Dynamic Risk Management (DRM) in Autonomous systems.a Literature Review for the Application of Artificial Intelligence in the Maintenance of Railway Operations with an Emphasis on Data;synthetic Data Generation for Condition Monitoring of Railway Switches;AID4TRAIN: Artificial Intelligence-Based Diagnostics for TRAins and INdustry 4.0;railway Digital Twins and Artificial Intelligence: Challenges and Design Guidelines;a K-Prototype Clustering Assisted Hybrid Heuristic Approach for Train Unit Scheduling;preface;auditTrust: Blockchain-Based Audit Trail for Sharing Data in a distributed Environment;ACC Fuzzy-Based Control Architecture for Multi-body High-Speed Trains with Active Inter-cars Couplers.

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The 3^rd internationalWorkshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024) 24

The 3<SUP>rd</SUP> InternationalWorkshop on Interactive and ...

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17th ACM international conference on Web Search and Data Mining (WSDM)

作者： Dave, Vachik S. Pang, Linsey Cui, Xiquan Luo, Chen Zamani, Hamed Wu, Lingfei Karypis, George Walmart Global Tech Sunnyvale CA 94086 USA Salesforce San Francisco CA USA Home Depot Atlanta GA USA Amazon Seattle WA USA Univ Massachusetts Amherst Amherst MA USA Pinterest New York NY USA Univ Minnesota Twin Cities Minneapolis MN USA

ISBN: (纸本)9798400703713

Over the past few years, consumer behavior has shifted from traditional in-store shopping to online shopping. For example, eCommerce sales have grown from around 5% of total US sales in 2012 to around 15.4% in year 2023. This rapid growth of eCommerce has created new challenges and vital new requirements for intelligent information retrieval systems. Which lead to the primary motivations of this workshop:(1) Since the pandemic hit, eCommerce became an important part of people's routine and they started using online shop- ping for smallest grocery items to big electronics as well as cars. With such a large assortment of products and millions of users, achieving higher scalability without losing accuracy is a leading concern for information retrieval systems.for eCommerce.(2) The diverse buyers make the relevance of the results highly subjective, because relevance varies for different buyers. The most suitable and intuitive solution to this problem is to make the system interactive and provide correct relevance for different users. Hence, interactive information retrieval systems.are becoming necessity in eCommerce.(3) To handle sudden change in buyers' behavior, industries adopted existing sub-optimal information retrieval techniques for various eCommerce tasks. Parallelly, they also started exploring/researching for better solutions and in dire need of help from research *** workshop will provide a forum to discuss and learn the latest trends for interactive and scalable information retrieval approaches for eCommerce. It will provide academic and industrial researchers a platform to present their latest works, share research ideas, present and discuss various challenges, and identify the areas where further research is needed. It will foster the development of a strong research community focused on solving eCommerce-related information retrieval problems that provide superior eCommerce experience to all users.

关键词： Information Retrieval Interactive systems Large Language models (LLMs) in eCommerce Recommender systems eCommerce Search Ranking models Natural Language Processing (NLP) for eCommerce

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2023 3rd international conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2023

2023 3rd International Conference on Innovative Research in ...

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3rd international conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2023

ISBN: (纸本)9798350398366

The proceedings contain 152 papers. The topics discussed include: problem-oriented medical records for describing care cases using multi-tenants;design of patient monitoring data node on the way of implementing medical 4.0;smart supply chain in industry 4.0: the Moroccan strategy to adopt digital transformation;gripping force optimization based on an ANFIS controller for an object manipulated by two 3-DOF cooperative manipulators;energy efficient clustering based on static cluster to maximize lifetime in wireless sensor networks;three different relative degrees sliding mode control for robust DTC control of induction motor drives;effects of lithium intercalation on the electronic and optical properties of graphene: density functional theory (DFT) computing;industrial systems.fault's diagnosis approaches adapted to the context of the smart industry;conversion of ultrasonic waves with symmetric notches in isotropic plate;and new spectral displacement post-processing approach for modeling ultrasonic guided waves.

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