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Offensive Social Network Posts Classification using Apache Spark Platform 2

Offensive Social Network Posts Classification using Apache S...

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2nd international conference on Applied artificial Intelligence and Computing, ICAAIC 2023

作者： Sandhiya, B. Saravanan, S. Amrita School of Computing Amrita Vishwa Vidyapeetham Dept. of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9781665456302

Social networking has become one of the most significant aspects of everyday lives since it allows us to communicate with many people. Social networking is used for many purposes besides communication. Though social networking platforms provide abundant benefits, there is no proper mechanism to check if only legitimate users are using the platforms. This happens to be the reason for many users to use those platforms to make offensive and vulgar comments about others. This research study intends to classify those social media messages as offensive or not offensive using Machine Learning Models available in the Apache Spark framework using Scala programming Language. The dataset used for the classification is of size 43 GB, and the clustering mechanism has been implemented using the Apache Spark platform. © 2023 IEEE.

关键词： Classification (of information)

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Creative Robotics: Designing Waving-Hand Dancing Robots 2nd

Creative Robotics: Designing Waving-Hand Dancing Robots

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2nd international conference on Intelligent Manufacturing and Robotics, ICIMR 2024

作者： Li, Kexin Hajjaj, Sami Salama Hussen School of Robotics Xi’an Jiaotong-Liverpool University 111 Taicang Avenue Taicang Jiangsu Suzhou215400 China School of Engineering and Technology Sunway University No. 5 Jalan Universiti Selangor Darul Ehsan Bandar Sunway47500 Malaysia

ISBN: (纸本)9789819639489

This project explores the integration of creative robotics with artistic expression through the development of a dancing robot series, focusing on a robotic arm that performs waving hand movements in sync with different types of music. Utilizing Arduino for hardware control and Python for programming, the project bridges the gap between mechanical precision and creative performance. The methodology includes designing and assembling the robotic arm, selecting appropriate sensors and actuators, and programming responsive dance movements triggered by auditory cues. The Arduino Uno, paired with an LM386 sound sensor, was chosen for its cost-effectiveness and ease of use, while MG90S servo motors enabled smoother, dynamic movements. Challenges included fine-tuning sound detection and optimizing motor control for fluid motion, which were addressed by adjusting sensor sensitivity and refining data processing. The findings demonstrate the successful creation of a robot that performs distinct waving movements based on music genres, showcasing the potential of creative robotics in merging technology with art, and highlighting the effectiveness of Arduino and Python in developing responsive, interactive systems. Future improvements could involve enhancing sound recognition accuracy and expanding the robot’s repertoire of dance moves with more advanced hardware and coding techniques. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Robot programming

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Intelligent Distribution Systems and Grid Integration of Renewable Energy Resources 2

Intelligent Distribution Systems and Grid Integration of Ren...

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2nd international conference on Smart Technologies for Power and Renewable Energy, SPECon 2024

作者： Naik, R. Sai Kiran Devaraju, T. Jawaharlal Nehru Technological University Anantapur Electrical and Electronics Engineering Ananthapuramu India Affiliated to Jawaharlal Nehru Technological University Anantapur Electrical and Electronics Engineering Sree Vidyanikethan Engineering College Tirupati Ananthapuramu India

ISBN: (纸本)9798350383041

In the upcoming years, smart distribution systems will efficiently manage electricity supplied from varied sources, including solar and wind. This guarantees a dependable and smooth integration for both business and residential buildings. This abstract explores the power flow regulation and grid synchronization difficulties faced by Smart Distribution Systems (SDS). The system actively monitors dispersed energy supplies to ensure stability through the use of Advanced Control and Monitoring and Digital Signal Processor (DSP) programming. Connection of renewable energy sources (RES) and power system configuration synchronization are made possible by the use of Controller Area Network (CANBUS), a customized connection that resembles a parallel port. In order to facilitate remote monitoring, the system has an Ethernet port and GSM communication. Furthermore, a viable harmonic mitigation strategy is put forth that successfully lowers the levels of Total Harmonic Distortion (THD) during the conversion of DC to AC in the integration of renewable energy sources. This helps to promote the use of renewable energy in the future. © 2024 IEEE.

关键词： Digital signal processors

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Computational Offloading and Caching Framework for Parallel and Distributed Edge Computing in Supercomputing Environments 2

Computational Offloading and Caching Framework for Parallel ...

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2nd IEEE international conference on Emerging Research in Computational science, ICERCS 2024

作者： Shakir, Maha Noori Ali, Mariam Fadel Ali, Abdalsalam Taha Hussain Mohammed, Alaa Sulaiman, Sazan Kamal Al-Nisour University College Baghdad Iraq Uruk University Department of Radiology Techniques Baghdad Iraq Al Kitab University Department of Medical Engineering Kirkuk Iraq Al-Farahidi University Department of Dental Industry Techniques Baghdad10011 Iraq Knowledge University College of Engineering Department of Computer Engineering Erbil Iraq

ISBN: (纸本)9798331534950

Despite significant advancements in parallel and vector supercomputers over the past twenty years, the present generation falls short of expected performance benchmarks due to programming and scaling issues. This paper examines improvements in parallel processing, emphasizing how hierarchical parallelism and improved clustering algorithms might enhance the performance of contemporary supercomputers to meet user expectations. This study investigates the iHPI-KC algorithm, an enhanced variant of the K-means clustering technique that incorporates hierarchical parallelism to optimize computational offloading and cache scalability on many-core supercomputers, particularly the Sunway TaihuLight. The iHPI-KC approach integrates a novel hyper-parameter selection procedure (HPSP), providing three unique layers of parallelism: dataflow partitioning, centroid partitioning, and a combined partitioning across dataflow, centroids, and dimensions. Evaluation of datasets from the UCI repository and Kaggle demonstrates that the proposed system attains enhanced caching scalability (96.53%), computational offloading efficacy (94.53%), and adaptability (97.53%) relative to traditional models, simultaneously decreasing processing duration and improving execution velocity. This study emphasizes the prospects of hierarchical parallelism and algorithmic improvements to enhance supercomputing efficiency. © 2024 IEEE.

关键词： Computation offloading

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Recent Trends in Sign Language Detection System Using Machine Learning Algorithms 2

Recent Trends in Sign Language Detection System Using Machin...

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2nd IEEE international conference on IoT, Communication and Automation Technology, ICICAT 2024

作者： Sharma, Keshav Jain, Naman Upadhyay, Adarsh Mishra, Annu Chaturvedi, Ravi Prakash Pruthi, Jyoti Sharda School of Engineering & Technology Department of Computer Science & Engineering Greater Noida India Sharda School of Engineering & Technology Department of Computer Science & Applications Greater Noida India

ISBN: (纸本)9798350368109

This study summarises current advances in sign language recognition systems, emphasising trends, problems, and prospects. Twenty key research publications are analysed, spanning a wide range of sign language recognition topics, from low-power bio-inspired armband solutions to sophisticated neural network structures. These technologies' incorporation into human-robot interactions, as well as their potential to improve communication accessibility, are highlighted. The communication gap limits social integration, access to services, information, and education for individuals who rely on sign language. To address this issue, our research aims to develop an innovative method for real-time translation of sign language into spoken and written languages. We propose a comprehensive system called "SignText"that utilizes Large Language Models (LLMs) and Python programming to interpret and translate sign language into subtitles. Through this approach, we aim to bridge the communication gap and enhance the lives of individuals who use sign language. Initial results demonstrate promising accuracy, with an average recognition rate of over 90% for basic signs and gestures, and up to 85% and 70% for more complex and similar signs, respectively. These results show significant progress toward fostering greater inclusion and accessibility in social interactions and daily life. © 2024 IEEE.

关键词： Human robot interaction

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Automated Moisture Monitoring and Irrigation Vehicle for Smart Agriculture 2

Automated Moisture Monitoring and Irrigation Vehicle for Sma...

引用

2nd international conference on Automation, Computing and Renewable Systems, ICACRS 2023

作者： Femi, D. Rahman, Habeeb K.T. Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamil Nadu Avadi India

ISBN: (纸本)9798350340235

The population of the world is around 8 billion and it is projected to increase with average growth rate of 8.5 percent each year. This means that we need to produce more food for the survival, but the decrease in the availability of freshwater has been a barrier to it. Traditional way of irrigation requires farmers to intervene. In order to reduce the usage of water in the sector of agriculture, this paper talks about a way to monitor the moisture level of the soil in each crop and providing the required water to the crops using an automated vehicle. The vehicle is automated using Arduino programming Board. It follows a pre-drawn line to navigate through the agriculture sector. © 2023 IEEE.

关键词： Arduino Sensor Vehicle

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Design and Implementation of Industrial Temperature Control System 2

Design and Implementation of Industrial Temperature Control ...

引用

2nd international conference on Advanced Manufacturing Technology and Manufacturing Systems, ICAMTMS 2023

作者： Tong, Yulong Wang, Chenyu Shen, Hai College of Communication Engineering Jilin University Changchun130022 China College of Physics Science and Technology Shenyang Normal University Shenyang110034 China

ISBN: (纸本)9781510667327

The technical realization of temperature control system plays a key role in the development of industrial automation. This paper designs a temperature control system with the heating furnace model as the controlled object, the heating furnace water temperature as the data acquisition object and controlled parameters, and the Siemens S7-1500 PLC as the lower computer controller. The PLC ladder diagram programming language in the software carries out the programming design of the lower computer, and combines the configuration and monitoring screen of the upper computer to design the configuration monitoring screen. At the same time, the function expansion and operation debugging are carried out to realize the monitoring and automatic control of the temperature data. © 2023 SPIE.

关键词： Computer control systems

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Safety–Critical Control for Hypersonic Vehicles with Angle of Attack Constraint 2nd

Safety–Critical Control for Hypersonic Vehicles with Angle ...

引用

2nd international conference of Mechanical System Dynamics, ICMSD 2023

作者： Lu, Qingli Sun, Ruisheng Lu, Yu School of Energy and Power Engineering Nanjing University of Science and Technology Nanjing210094 China

ISBN: (纸本)9789819980475

This paper proposes and verifies a safety–critical control scheme for hypersonic vehicles (HSVs) with angle of attack (AOA) constraint. Firstly, the dynamic model of HSV is decomposed into a velocity subsystem and an altitude subsystem, where the matched and mismatched disturbances are estimated by a nonlinear disturbance observer (ndO) and compensated by a normal controller. Furthermore, the control barrier function (CBF) is improved by introducing disturbance observations, and the control problem with AOA constraint is transformed into a quadratic programming (QP) problem. Finally, the simulation results show the effectiveness and robustness of the proposed controllers, and the AOA does not violate the constraint during the control procedure. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Angle of attack

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Text Extraction and Mining Methods Used in Data science 2

Text Extraction and Mining Methods Used in Data Science

引用

2nd international conference on Edge Computing and Applications, ICECAA 2023

作者： Deepa, K. Perumal, P. Mathivanan, B. Sri Ramakrishna Engineering College Department of Information Technology Tamil nadu Coimbatore India Sri Ramakrishna Engineering College Department of Computer Science and Engineering Tamil nadu Coimbatore India

ISBN: (纸本)9798350347579

Online Customer Reviews (OCRs) make it difficult for firms to examine them due to their number, diversity, pace, and validity. The big data analytics study predicts OCR reading and its usefulness. Titles with positive emotion and sentimental reviews with neutral polarity attract more readers. Online merchants may use this work to build scale automated processes for sorting and categorizing huge OCR data, benefiting vendors and consumers. Current OCR sorting approaches may prejudice readership and usefulness. Python crawled, processed, and displayed data using Natural Language Processing (NLP). The crawling dataset collected literature using a Pubmed Application programming Interface (API) module. Natural Language Toolkit (NLTK) processed text data. Tokens were processed into bigrams and trigrams using n-grams. According to study abstracts, West Java has the most stunting research. Text mining and NLP may enhance oral history and historical archaeology. Text mining algorithms were intended for enormous data and public texts, making them inappropriate for historical and archaeological interpretation. Text analysis can effectively handle and evaluate vast amounts of data, which may substantially enrich historical archaeology study, especially when dealing with digital data banks or extensive texts. © 2023 IEEE.

关键词： Application programming interfaces (API)

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Stereoscopic Gated Graph Scalable Quantum Capsule Convolutional Neural Networks with artificial Hummingbird Algorithm for Social Media Content Classification and Community Detection 2

Stereoscopic Gated Graph Scalable Quantum Capsule Convolutio...

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2nd international conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Elumalai, A. Devi, S. Rukmani Victoria, D. Rosy Salomi Jagadeeswaran, A. Mukherjee, Aparajita Vinoth, K. R.M.K. Engineering College Department of Mathematics Tamil Nadu Chennai601206 India Saveetha College of Liberal Arts and Sciences SIMATS Deemed to be University Department of Computer Science Tamil Nadu Chennai602105 India Chennai Institute of Technology Department of Information Technology Tamil Nadu Chennai600069 India Annapoorana Engineering College Department of Electronics and Communication Engineering Tamil Nadu Salem636308 India University of Engineering and Management Department of Computer Science and Engineering West Bengal Kolkata700160 India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Electrical and Electronics Engineering Tamil Nadu Chennai600062 India

ISBN: (纸本)9798331505745

Social Media Content Classification and Community Detection (SMCCCD) classify content and identify communities through deep learning, and NLP. Traditional models are weak in scalability and interpretability. To solve all these problems, this paper introduces a Stereoscopic Gated Graph Scalable Quantum Capsule Convolutional Neural Networks with artificial Hummingbird Algorithm (SGGSQCCN2Nets+AHA) for social content classification and community detection. Data inputs are accessed from the Twitter dataset and are initially preprocessed by the Natural Language (NL) method. After preprocessing, content classification and community detection are done using the Stereoscopic Gated Graph Scalable Quantum Capsule Convolutional Neural Networks (SGGSQCCN2Nets) and optimization is then performed with the artificial Hummingbird Algorithm (AHA). The performance of the new SGGSQCCN2Nets+AHA model is tested on a Twitter dataset with a high accuracy rate of 99.9% and specificity of 99.8%. The proposed model is developed by utilizing Python programming language. The outcome of the proposed SGGSQCCN2Nets+AHA model enhances the performance of content classification and improves user community detection accuracy. It is effective in addressing scalability issues, obtaining complex features, and offering more interpretability. The model is also resilient against noisy data dynamically adapts to evolving social media trends and outperforms traditional deep learning techniques in real-time analysis. © 2025 IEEE.

关键词： Tweets

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