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Speech Recognition for Intelligent System in Service Robots: A Review 4

Speech Recognition for Intelligent System in Service Robots:...

引用

4th international conference on Electrical engineering and computer Science, ICECOS 2024

作者： Atika, Ratna Dwijayanti, Suci Yudho Suprapto, Bhakti Doctoral Program in Engineering Science Universitas Sriwijaya Department of Electrical Engineering Polytechnic of Sriwijaya Palembang Indonesia Faculty of Engineering Universitas Sriwijaya Department of Electrical Engineering Palembang Indonesia Faculty of Engineering Palembang Universitas Department of Electrical Engineering Sriwijaya Indonesia

ISBN: (纸本)9798350368253

Speech recognition and response system technology in service robot research continues to evolve alongside technical advances and the increasing demand for intelligent automation across industries. The development of machine learning, digital signal processing, and artificial neural networks has brought significant advancements to speech recognition systems. While speech recognition has been implemented in various systems, there is limited discussion on categorizing these systems by examining four aspects: speech recognition applications, datasets used, emotional speech recognition, and automatic speech recognition. In this study, a review of these four aspects is conducted, focusing on the algorithms and methods used, along with their advantages and disadvantages, particularly in the context of implementing them in service robots using the Indonesian language. This study involves a literature review of 100 research papers from the last five years. The review concludes that the use of the transformer method combined with other techniques and Indonesian language datasets is still very limited. Therefore, future research will focus on developing and implementing these methods in humanoid service robots. © 2024 IEEE.

关键词： Intelligent systems

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Implementation of FLC-Based Adaptive Droop Control in a DC Microgrid with Generation Uncertainties 15

Implementation of FLC-Based Adaptive Droop Control in a DC M...

引用

15th international conference on computer and automation engineering, ICCAE 2023

作者： Doll, Harish Ignacio, Kyle Miguel M. Pacis, Michael C. Mapúa University School of Electrical Electronics and Computer Engineering Manila Philippines

ISBN: (纸本)9798350396225

Due to the environmental impact caused by Conventional Generator Sources, Renewable Energy is being considered. Intermittent generation in Renewable Energy calls for the implementation of microgrids. This study uses an IEEE 9-Bus DC Microgrid. Voltage Regulation is one of the issues of a Microgrid, while Power output is an issue for Converters. Traditional Droop Control Technique is used to regulate voltage where the Voltage follows a linear curve. However, this technique does not provide a good trade-off between Voltage and Power as Droop Coefficient is constant. An Adaptive Droop Control technique is implemented, where Droop Coefficient is made adaptive using Fuzzy Logic Controller. A Trade-off Value is calculated to determine the results, and FLC-based Adaptive Droop Control outperformed Traditional Droop Control in that aspect. Therefore, FLC-based Adaptive Droop Control can be considered a viable alternative to Traditional Droop Control. © 2023 IEEE.

关键词： Controllers

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Integral Control for Nonlinear Systems Subject to Time-Varying Perturbations with Unknown Magnitudes 10

Integral Control for Nonlinear Systems Subject to Time-Varyi...

引用

10th international conference on automation, Robotics, and Applications, ICARA 2024

作者： Han, Zhifeng Chen, Xiandong Walton, Claire Qian, Chunjiang The University of Texas at San Antonio Department of Electrical and Computer Engineering San AntonioTX78249 United States Shandong Artificial Intelligence Institute Qilu University of Technology Jinan China

ISBN: (纸本)9798350394245

This paper focuses on the design of linear integral controllers for uncertain nonlinear systems subjected to various types of time-varying perturbations. We propose a method called the feedback domination method to address this problem. The time-varying perturbations can include constant step disturbances, exogenous time-varying disturbances with unknown magnitudes, and modeling uncertainties with unknown system parameters. The approach involves constructing a new linear integral controller with integral dynamics to drive the states of uncertain systems without nonlinear terms to the origin asymptotically Additionally, a high-gain technique is introduced to design a controller that can asymptotically drive the states of uncertain nonlinear systems to the origin. Finally, the paper introduces a new stability criterion and extends the results to a class of uncertain nonlinear systems with more general time-varying perturbations of unknown magnitudes. © 2024 IEEE.

关键词： Nonlinear systems

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Determination of Sugar Apple Ripeness via Image Processing Using Convolutional Neural Network 15

Determination of Sugar Apple Ripeness via Image Processing U...

引用

15th international conference on computer and automation engineering, ICCAE 2023

作者： Sanchez, Rhys B. Angelo C. Esteves, Jose Linsangan, Noel B. Mapúa University School of Electrical Electronics and Computer Engineering Manila Philippines

ISBN: (纸本)9798350396225

One type of fruit that is seasonally available in the Philippines is the sugar apple which is known as "Atis."Specifically, no technological advancements regarding sugar apples ripeness classification are created. Sugar apples are manually separated based on their ripeness when harvested. This research focuses on using image processing through CNN to determine the ripeness of sugar apples, which will benefit the sugar apple fruit farmers and harvesters. The researchers created a machine prototype which is able to capture the image of a sugar apple and determine the ripeness classification in the image detected. The researchers found that the use of image processing in determining the ripeness of the sugar apple is adequate and accurate based on the datasets that the machine is trained to recognize. Looking at the gathered results of the images when compared to the manual inspection of the harvesters in each image taken, the researchers were able to achieve an accuracy of 86.84% in determining the ripeness level of sugar apples using convolutional neural network. © 2023 IEEE.

关键词： Convolutional neural networks

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Performance Evaluation of Blockchain Platforms

Performance Evaluation of Blockchain Platforms

引用

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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Generative AI Co-Pilot for Rapid Prototyping of IEC 61499 Control Applications 29

Generative AI Co-Pilot for Rapid Prototyping of IEC 61499 Co...

引用

29th IEEE international conference on Emerging Technologies and Factory automation, ETFA 2024

作者： Ovsiannikova, Polina Liakh, Tatiana Jhunjhunwala, Pranay Vyatkin, Valeriy Aalto University Department of Electrical Engineering and Automation Espoo Finland Luleå Tekniska Universitet Department of Computer Science Electrical and Space Engineering Sweden

ISBN: (纸本)9798350361230

This work develops a concept of a natural language co-pilot for the creation of IEC 61499 applications to accelerate initial testing and development. The co-pilot addresses the challenge of generating the correct function blocks that can be opened in popular IEC 61499 IDEs. In our case study, we focus on the generation of the centralised controller that operates particular equipment to perform a defined process. In addition, we have developed a scheme for how the co-pilot will be integrated into the FBME IDE as an AI assistant in the next steps. In the discussion, we provide valuable information for future co-pilot developers on the possible problems they might face in this area and how to overcome them. © 2024 IEEE.

关键词： Rapid prototyping

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Autonomous Guidance of an Aerial Drone for Maintaining an Effective Wireless Communication Link with a Moving Node Using an Intelligent Reflecting Surface 14

Autonomous Guidance of an Aerial Drone for Maintaining an Ef...

引用

14th international conference on computer and automation engineering (ICCAE)

作者： Eskandari, Mohsen Huang, Hailong Savkin, Andrey, V Ni, Wei Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW Australia Hong Kong Polytech Univ Dept Aeronaut & Aviat Engn Hong Kong Peoples R China CSIRO Data61 Sydney NSW Australia

ISBN: (纸本)9781665483797

The excellent 3D mobility has made aerial drones (ADs) good candidates to improve the coverage of wireless communication networks. However, the effectiveness/efficiency of an AD (as an aerial active relay) is questionable for holding a continuous line-of-sight (LoS) link with a moving node (MN) in fifth-generation (5G) millimeter-wave (mmWave) wireless networks due to the signal propagations/blockage issues. Nevertheless, intelligent reflecting surface (IRS) technology has been introduced as a useful and energy-efficient method to improve the spectrum efficiency of 5G networks. In this paper, an AD equipped with IRS is proposed and autonomously navigated to maintain a continuous wireless link with an MN. The MN can be a vehicle moving through a dense urban environment. Simulation results corroborate the effectiveness of the method.

关键词： automation aerial drone (AD) communication guidance intelligent reflecting surface (IRS) intelligent robots

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Intelligent Control Systems for Industrial automation and Robotics 9

Intelligent Control Systems for Industrial Automation and Ro...

引用

9th international conference on Science, Technology, engineering and Mathematics, ICONSTEM 2024

作者： Pelleti, Swarupa Kumar, Jambi Ratna Raja Krushnasamy, V.S. Raj, G. Balamuruga Mohan Category - I NIRF University Ranking: 28 Hyderabad India GenbaSopanraoMoze College of Engineering Department of Computer Engineering Pune411045 India Dayananda Sagar College of Engineering Department of Electronics And Instrumentation Engineering Kumaraswamy Layout Bangalore560078 India SriManakulaVinayagar Engineering College Madagadipet Puducherry605107 India

ISBN: (纸本)9798350365092

This study explores the field of Intelligent Control Systems (ICS) and how they have revolutionized robotics and industrial automation. The benefits of ICS over conventional PID control techniques are examined in this work using mathematical models, actual experiments, and performance measures. After conducting a thorough investigation, we discovered that ICS performs very well in tracking accuracy, requires less control effort, and responds more quickly, highlighting its versatility and efficiency in carrying out high-precision tasks. These discoveries have significant ramifications for the industrial sector, bringing in a new age of operational excellence and bringing ICS into line with the ideas of Industry 4.0. Future research aims to solve ethical and interoperability issues, improve human-robot interaction, integrate machine learning for adaptation, optimize ICS algorithms for particular applications, and guarantee scalability and cost-effectiveness. To sum up, this study not only confirms the promise of ICS but also lays out a roadmap for their further development, making them ready to completely transform the industrial sector and push the boundaries of innovation. © 2024 IEEE.

关键词： Cost effectiveness

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Quality, Quantity and Type detection of Fruits inside Refrigerator through Smart Vision in IoT

Quality, Quantity and Type detection of Fruits inside Refrig...

引用

2023 international conference on Sustainable Emerging Innovations in engineering and Technology, ICSEIET 2023

作者： Das, Soumitra Nandgaonkar, Vikas N Dasab, Purushottam Saini, DilipKumar Jang Bahadur Biradar, Ramdas G Bhatt, Ashutosh Indira College of Engineering &management Department of Computer Science and Engineering Pune India Cse Graphic Era Hill University Dehradun India Cse Graphic Era Deemed to Be University Dehradun India School of Engineering and Technology Pimpri Chinchwad University Department of Computer Science and Engineering Pune India School of Engineering and Technology Pimpri Chinchwad University Pune India Himalayan School of Science & Technology Swami Rama Himalayan University Department of Computer Science and Engineering Uttarakhand India

ISBN: (纸本)9798350329186

In our automated world, time is the most precious of all. Technology is crucial in saving time and protecting it from being wasted. Being a technology student, it's my responsibility to contribute to automation. People nowadays never attain enough duration to visit the marketplace, purchase veggies, and examine the quality and number of vegetables. automation is handled with computer vision and Artificial Intelligence as its eyes and brain. Without these two, the system cannot be said a fully autonomous. Data science is chosen for core in implementing an intelligent refrigerator system which is capable of sensing fruits, veggies and other familiar entities in the fridge, such as eggs, also sensing their respective quantities and quality, such as rotten or good in this case, in addition, an auto notifying and purchasing interface is the proposal. A CNN based supervised learning model that checks quality and quantity, as well as auto-shops online, might be an excellent addition to the automation arsenal. An advanced model equipped with data analysis and artificial intelligence could be a good fit. This article discusses the concept, architecture, construction process, and final product. The study describes the concept, architecture, construction process, and functionality of a refrigerator that is exposed as an IoT object and interacts with the items stored inside, gathers information about them, processes that information into relevant data, and then communicates that data to its owners via an IoT platform, in other words, a smart refrigerator. © 2023 IEEE.

关键词： automation

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Cloud-Based Model Predictive Control for Consensus Problem of Controlled Automated Vehicles 9

Cloud-Based Model Predictive Control for Consensus Problem o...

引用

9th international conference on Control, Instrumentation and automation, ICCIA 2023

作者： Ghanavati, Ali Karami Shakerpour, Mohammad Safavi, Ali Akbar Meskin, Nader School of Electrical and Computer Engineering Shiraz University Shiraz Iran Doha Qatar College of Engineering Qatar University Department of Electrical Engineering Doha Qatar

ISBN: (纸本)9798350366013

This paper considers the problem of velocity consen-sus in autonomous vehicles using a cloud-based Model Predictive Control (MPC) approach. A centralized structure is proposed to gain the most possible computational potential of the cloud to find the best optimized solution for the MPC. The proposed controller is implemented on the Amazon cloud servers. Simulation results are presented to demonstrate the effectiveness of our proposed methodology. © 2023 IEEE.

关键词： Model predictive control

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