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IEEE International Conference of Intelligent Robotic and Control engineering (IRCE)

作者： Shilong Yuan Zhou He Pengyang He Wei Tang College of Electrical and Control Engineering Shaanxi University of Science & Technology Xi’an China College of Mechanical and Electrical Engineering Shaanxi University of Science & Technology Xi’an China

ISBN: (数字)9798350352399

ISBN: (纸本)9798350352405

In this work, we study path planning for multi-robot systems under complex tasks, which are given by global high-level specifications represented as Boolean formulas. This paper proposes a path planning method based on an improved ant colony optimization algorithm to compute the trajectory of each robot, ensuring that the total trajectories of the team fulfill the Boolean specifications while minimizing the total motion cost. The algorithm introduces a neighborhood search mechanism to enhance the neighborhood search capability. In addition, it incorporates an elite strategy to improve the qualities of the offspring populations and algorithm convergence speed. Simulation results show that compared with the Boolean specification-based multi-robot system path planning method using simulated annealing, the improved algorithm reduces the convergence time and minimizes the cost of the team. The solution time is shorter and the solution quality is higher, demonstrating the effectiveness of the proposed algorithm in solving the path planning problem for complex multi-robot tasks.

关键词： Ant colony optimization Costs Heuristic algorithms Simulation Transportation Simulated annealing Trajectory Multi-robot systems Robots Convergence

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Leveraging Differently Layered Convolutional Neural Network for Speech Emotion Recognition

Leveraging Differently Layered Convolutional Neural Network ...

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International Conference on Advances and Applications of Artificial Intelligence and Machine Learning, ICAAAIML 2023

作者： Gaddam, Prathik Kumar Iqubal, Anas Hasan, Muqtada Agrawal, Arun Prakash School of Engineering & Applied Science The George Washington University Washington D.C United States Galgotias College of Engineering and Technology Greater Noida India Kratikal Tech Private Limited Noida India School of Computer Science Engineering and Technology Bennett University Greater Noida India

ISBN: (纸本)9789819795062

Text stands to be one of the prominent aspects of Communication in any Technical Phenomenon. But, with Text, understanding the Emotion of a Person, which plays a vital role in decision-making for actuating a Task, isn’t possible. With the Escalated Indulgence of Speech into Diverse Technological Systems, it has been necessary to formulate a modus operandi which would precisely determine the Emotion of a Person through its Speech. Different approaches have been proposed for recognizing the Emotion of a Person through Speech, but the Limitation of Modular Outlook over Speech Data seems to be Visible. In this paper, we consummated Convolutional Neural Networks and tried to understand the Impact of the Convolution Layers, i.e., 03, 04, 05, and 06—Layered CNN, over the Speech Data and thereby formulate a Potent and Efficient Solution for Speech Emotion Recognition. We utilized the well-known Open-Source Datasets such as CREMA, RAVDESS, SAVEE, and TESS, consisting of Speech Audio for various Human Emotions, and combined them into one whole Dataset. The outcome we got was phenomenal as the Accuracy surpassed the already existing methodologies, and also it gave us an Impactful Elucidation of its Real-time Applicability for varied use-cases related to Speech. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

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IoT-Based Intelligent Energy Management for EV Charging Stations

IAENG International Journal of Computer Science

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IAENG International Journal of computer science 2024年第11期51卷 1853-1861页

作者： Dasi, Swathi Bondalapati, Swarupa Rani Subbaraju, Mummidi P. Nimma, Divya Jangir, Pradeep Reddy, R. Vijaya Kumar Zareena, N. Electronics and Communication Engineering Department Prasad V. Potluri Siddhartha Institute of Technology Andhra Pradesh Vijayawada India Electrical and Electronics Engineering Department Velagapudi Ramakrishna Siddhartha Engineering College Andhra Pradesh Vijayawada India Electrical and Electronics Engineering Department Aditya University Andhra Pradesh Surampalem India University of Southern Mississippi United States Biosciences Department Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India associated with Applied Science Research Center Applied Science Private University Amman Jordan. Computer Science and Engineering Department Koneru Lakshmaiah Education Foundation Andhra Pradesh Vaddeswaram India Computer Science and Engineering Department R.V.R. & J. C. College of Engineering Guntur India

The electronics panels and controllers used in electric vehicle (EV) charging stations need to function securely and optimally in countries such as India, where the external temperature remains high for a significant part of the year. This study is the first to use a solar-battery storage integrated switchable glazing architecture to supply HVAC (heating, ventilation, and air conditioning) in the control rooms of electric vehicle charging stations throughout the day. The EV charging station has been equipped with a rooftop-mounted solar PV source as part of an initiative to promote renewable energy and sustainable forms of mobility. The utilization of a vanadium redox flow battery (VRFB) by the system ensures energy security through the provision of a durable solution for storing energy over an extended period of time. A smart scheduling system utilizing IoT technology was demonstrated to effectively meet the glazing load need of buildings in real-time, taking into account dynamic climatic conditions. This system incorporates solar PV, VRFB storage, and the neighborhood power grid. The efficiency of the suggested method was validated using four separate transitory scenarios: sunny, intermittently cloudy, prolongedly cloudy, and low solar radiation with frequent grid outages. Due to its versatility to be applied in various situations, the suggested method has the potential to greatly enhance capacity. © (2024), (International Association of Engineers). All rights reserved.

关键词： Air conditioning

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Three-Dimensional Sph Simulations of Transient Non-Isothermal Viscoelastic Injection Molding Process

SSRN

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SSRN 2024年

作者： Xu, xiaoyang Tian, Lingyun Sun, Yijie School of Safety Science and Engineering Xi'an University of Science and Technology Xi’an710054 China School of Computer Science and Technology Xi'an University of Science and Technology Xi’an710054 China School of Energy and Power Engineering Department of Fluid Machinery and Engineering Xi'an Jiaotong University Xi’an710049 China

In the present work, we introduce a smoothed particle hydrodynamics (SPH) method for simulating three-dimensional (3D) transient non-isothermal viscoelastic injection molding process, in which the viscoelastic properties of the fluid are delineated by the Oldroyd-B constitutive equation. To discretize the governing equations, we employ the improved SPH scheme presented by Xu and Jiang, J. Non-Newton Fluid. 309 (2022) pp. 104905. To address 3D complex boundaries, we introduce an enhanced treatment of wall boundaries utilizing a level-set based pre-processing technique. Initially, we simulate the two-dimensional (2D) non-isothermal viscoelastic injection molding process of a circular disc with an irregular insert, and validate the convergence of the SPH method under different initial particle spacings. We present information on velocity, temperature, and first normal stress difference during the injection molding process. Furthermore, we conduct a detailed analysis of the effects of parameters such as Péclet number, Weissenberg number, Reynolds number, and viscosity ratio on the evolution of flow characteristics. Subsequently, we extend the method to tackle the challenging 3D complex non-isothermal viscoelastic injection molding problems. We provide numerical examples of 3D injection molding of a hexagon screw and a car rim, showcasing the changes in rheological information at various time points. Our results illustrate that the proposed SPH method serves as a robust computation tool for simulating 3D non-isothermal viscoelastic injection molding processes, even when dealing with intricate cavity geometries. © 2024, The Authors. All rights reserved.

关键词： Viscoelasticity

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IoT Integration in Agricultural Infrastructure: From Fields to Clouds

IoT Integration in Agricultural Infrastructure: From Fields ...

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2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication engineering, RMKMATE 2023

作者： Rajora, Ricky Rajora, Aarju Singh, Rahul Gupta, Rupesh Chitkara University Institute of Engineering and Technology Chitkara University Punjab 140401 India Department of Computer Science & Engineering Chandigarh Engineering College Jhanjeri Mohali India

ISBN: (纸本)9798350305708

The IoT integration with agricultural infrastructure marked the beginning in a new era of smart farming, changing conventional practices into data-driven, effective, and sustainable operations. This study examines the enormous effects of IoT on agriculture, minimizing the gap between the fields and the clouds. IoT goes beyond isolated farms, as well. By incorporating IoT throughout the whole agricultural value chain, supply chain transparency, traceability, and food safety are all improved. Sharing data and insights amongst farmers, academics, and stakeholders promotes collaboration and environmentally friendly practices. The article covers a wide range of technological components related to IoT in agriculture. It describes the main elements of smart farming based on IoT. It concentrates mainly on the current issues that farmers are facing and their solutions in the realm of agriculture. IoT is imperative for smart agriculture. Because monitoring environmental conditions is essential to improving the output of productive crops. This study explores the multiple function of IoT integration in agricultural infrastructure, emphasizing the revolutionary transition from the fields where data is gathered to the clouds where insights are cultivated. It clarifies the possibilities, difficulties, and opportunities of the Internet of Things' significant influence on contemporary agriculture via case studies, analysis, and conversations. © 2023 IEEE.

关键词： environmental monitoring Internet of Things smart agriculture soil monitoring Unmanned aerial vehicle

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Handwriting Recognition for Predicting Gender and Handedness Using Deep Learning 1

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5th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2022

作者： Saraswat, Mala Agarwal, Ayushi School of Computer Science Engineering and Technology Bennett University UP Greater Noida India ABES Engineering College UP Ghaziabad India

ISBN: (数字)9783031342226

ISBN: (纸本)9783031342219

This research focuses on predicting the gender and handedness and also combined prediction through Handwriting Recognition. In this paper we have analyzed various Deep learning approaches using different CNN models. Our proposed approach uses two data sets IAM English dataset and Real-Time dataset that was collected by us for recognizing the handwriting pattern to perform the defined task. Using different Deep learning approaches, experiments were conducted to analyze the performance on the given two datasets for predicting. Gender and handedness. Experiments showed Google Net using CNN is the most efficient for the prediction and recognition with the handwriting samples. For combined prediction the accuracy rate is around 94% with Real-Time dataset and 95% with the IAM dataset. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Forecasting

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An Improved Ant Lion Optimization Algorithm Based Convolutional Neural Network for Big data Classification

An Improved Ant Lion Optimization Algorithm Based Convolutio...

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2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques, EASCT 2023

作者： Umaeswari, P. Vellingiri, J. Kumar, Gotte Ranjith Devendhiran, A. Naik, Ashitha V R.M.K. Engineering College Department of Computer Science and Business Systems Kavaraipettai India Institute of Technology School of Computer Science Engineering and Information Systems Vellore India Sr University School of Computer Science & Artificial Intelligence Warangal India Vivekanandha College of Engineering for Women Department of Computer Science and Technology Namakkal India Nitte Meenakshi Institute of Technology Department of Ece Bengaluru India

ISBN: (纸本)9798350313413

The continuous advancement of remote sensor technology is contributing to a daily surge in data production, necessitating improvements in the accuracy of big data classification. This research proposes a unique feature selection method named as Improved Ant Lion Optimization (IALO) algorithm that integrates the behavior of animal migration with Ant Lion Optimization (ALO) algorithm. The proposed feature selection method enhances the performance of the ALO algorithm. The datasets utilized for the research are iris, wine, Cleveland, and Switzerland datasets. Next, the map reduces framework is utilized and then feature extraction is processed by Linear Discriminant Analysis (LDA). The feature selection is performed by the proposed IALO algorithm and the selected features are given to the Convolutional Neural Network (CNN) classifier for the big data classification. The performance of the proposed method is evaluated by parameters such as accuracy, computation time, specificity, and sensitivity. The proposed method attained a high accuracy of 98.05% with less computation time of 4.8 secs in the wine dataset which is comparatively higher than other existing methods such as Grey Wolf Optimization based CNN (GWO-CNN), Particle Swarm Optimization based CNN (PSO-CNN), Cuckoo Search Optimization based CNN (CSO-CNN), Ant Lion Optimization based CNN (ALO-CNN). © 2023 IEEE.

关键词： Ant Lion Optimization Big data Convolutional Neural Network MapReduce and Migration behavior

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TXSLAM: A Monocular Semantic SLAM Tightly Coupled with Planar Text Features 25

TXSLAM: A Monocular Semantic SLAM Tightly Coupled with Plana...

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25th IEEE International Conference on computer Supported Cooperative Work in Design, CSCWD 2022

作者： Tong, Qiyi Ma, Luzhen Chen, Kaiqi Liu, Jialing Qian, Jie Zhang, Jianhua Zhejiang University of Technology College of Computer Science and Technology Hangzhou China Tianjin University of Technology School of Computer Science and Engineering Tianjin China

ISBN: (纸本)9781665405270

We propose a new monocular semantic simultaneous localization and mapping (SLAM) system that tightly couples planar text features. The system treats text features as a plane with rich texture information and semantic information, and more accurate camera pose estimation can be obtained by tightly coupling the semantic plane. Unlike previous work, it pioneers the use of words contained in the text to represent the semantic information of the plane, which enables the use of simpler and more efficient data association algorithms to match geometric planes. We evaluate our method in public datasets, and the final experimental results prove that our proposed system improves the accuracy of camera pose estimation. Additionally, the system augments the sparse map with semantic plane information, enhancing the applicability of the system in robotics, unmanned driving, augmented reality (AR), and virtual reality (VR). © 2022 IEEE.

关键词： Robotics

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Performance Evaluation of Blockchain Platforms

Performance Evaluation of Blockchain Platforms

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2023 International Conference on IoT, Communication and Automation technology, ICICAT 2023

作者： Gupta, Manish Kumar Dwivedi, Rajendra Kumar Sharma, Annu Farooq, Mansoor Britto Raj, S. Madan Mohan Malaviya University of Technology Department of Information Technology & Computer Application Gida Gorakhpur India RajaRajeshwari College of Engineering Department of Computer Science & Application Bengaluru India University of Kashmir Department of Management Studies Jammu & Kashmir India Rrase College of Engineering Department of Computer Science & Engineering Chennai601301 India

ISBN: (纸本)9798350302820

Blockchain (BC) is a cryptographic technology that enables the decentralized storage of an immutable record of transactions. As a result, many industries are interested in integrating BC into their IT systems. Although BC-based platforms are used in enterprise solutions, concerns regarding accessibility, privacy, performance, and scalability are still legitimate. Permissioned Blockchain (PBC) frameworks provide a solution to securely store private records. The main objective of this paper is to focuses on the performance and scalability of popular private BC platforms. To evaluate each platform, we varied the workloads and assessed performance metrics. Our comparative analysis provides valuable insights into the strengths and weaknesses of each platform, enabling enterprises to make informed decisions when choosing a private BC solution. © 2023 IEEE.

关键词： Blockchain

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Leveraging Edge Computing for Enhancing Next Generation Network Services 15

Leveraging Edge Computing for Enhancing Next Generation Netw...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Naveena, S.Sathiya Goyal, Prakhar Narmadha Verma, Devika A. Balaji, N.V. Rampal, Sourav Prince Shri Venkateshwara Padmavathy Engineering College Department of Business Administration Chennai127 India Quantum University Research Center Quantum University India School of Engineering and Technology Department of Computer Science Engineering Karnataka Bangalore India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Karpagam Academy of Higher Education Department of Computer Science Coimbatore641021 India Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research for Business and Technology Punjab India

ISBN: (纸本)9798350370249

Aspect computing is quickly turning into a possible answer for augmenting and streamlining the overall performance of next era community services. Edge computing gives a disbursed computing architecture that allows computation and records storage competencies to are living closer to the edge network, rather than in, valuable records middle. This enables applications to enjoy faster reaction times and reduced latency, growing the rate of facts shipping. Side computing also presents greater scalability, simplifying the combination of IoT gadgets, permitting statistics streaming from more than one asset. As networks pass to 5G, area computing will offer the important flexibility and stability to deal with big amounts of statistics visitors securely and successfully. By leveraging the power of edge computing, corporations can create an agile and resilient service structure, imparting more advantageous safety and a variety of customizable abilities that permit them to capitalize on the success of the 5 G community. © 2024 IEEE.

关键词： Abilities Advantageous Capitalize Customizable Permit Streaming Success Variety

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