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"Hand Model" - A Static Sinhala Sign Language Translation Using Media-Pipe and SVM Compared with Hybrid Model of KNN, SVM and Random Forest Algorithms 5

"Hand Model" - A Static Sinhala Sign Language Translation Us...

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5th International Conference on Advancements in computing, ICAC 2023

作者： Gedaragoda, G.H.M.S.C. Wijesinghe, W.R.S. Abeywickrama, T.R. Lokuliyana, Shashika Mahaadikara, Hansika Sri Lanka Institute of Information Technology Faculty of Computing Department of Computer Systems Engineering Malabe Sri Lanka

ISBN: (纸本)9798350358131

The study of sign language recognition has been a thriving area of research for nearly twenty years. SSL translation using computer vision relies on extensive training using large number of images or video sequences. Yet, it poses a challenge for languages with limited resources, like Sinhala Sign Language. Due to the absence of accessible datasets for such investigations and lack of SSL recognition systems for real-time scenarios, the authors of this research have developed a completed system that consist of three components which are, static sign recognition, dynamic sign recognition and natural language processing to output a meaningful sentence. This paper describes the models and the results which are developed for static sign recognition. The final model for the Sinhala Static recognition has developed using media-pipe and SVM algorithm. And to compare the results and performance authors have used CNN, SVM, KNN and Random-forest algorithms to compare the results and performance. In this research, authors have made a valuable contribution by introducing a new dataset and developing a system for translating static SSL that gives 99.67% of accuracy and best performance when compared to the other two models and algorithms described in this paper. © 2023 IEEE.

关键词： Support vector machines

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Magnetic Flux Servoing for Precise Localization Based on Gradient Tensor Contractions 19

Magnetic Flux Servoing for Precise Localization Based on Gra...

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19th IEEE International Conference on Automation Science and engineering, CASE 2023

作者： Martinovic, Dean Orsag, Matko University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Robotics and Intelligent Control Systems Zagreb10000 Croatia

ISBN: (纸本)9798350320695

This paper focuses on bridge inspections performed by intelligent unmanned aerial vehicles (UAV). For this, small data loggers are placed by the UAVs at the bridge, which have to be removed later. In our previous work we presented the magnetic localization method SRIOD, which not only detects the center of the data logger but also its orientation. In this work we proof SRIOD in a real application and let a robotic arm locate a magnetic target. The hardware involved is presented including the control strategy for the robot. The motions of the robot and the magnetic target are captured with 12 Optitrack cameras in order to validate the localization quality. © 2023 IEEE.

关键词： Antennas

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"Phrasefluent" - An Automated Solution for Children's Speech Disorders Identification and Therapy Treatment 5

"Phrasefluent" - An Automated Solution for Children's Speech...

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5th International Conference on Advancements in computing, ICAC 2023

作者： Karunasekara, Pasan Deshitha, Sheshan De Alwis, Dinuja Karunarathna, Desan Lokuliyana, Shashika Gamage, Narmada Sri Lanka Institute Information Technology Faculty of Computing Department of Computer Systems Engineering Malabe Sri Lanka

ISBN: (纸本)9798350358131

PhraseFluent is a project to develop a complete web-based solution to help people who are suffering from speech disorders. This application is specifically designed for people who are suffering from articulation and stuttering speech disorders. There are few solutions available for speech disorders identification and speech therapies. Those available applications have several drawbacks that lead to the research gap for this research. Those findings do not have any disorder-specific speech detection methods. Those applications generally detect speech disorders not the type of the disorder. Also, the speech therapy exercises suggest applications are practicing words according to the order of the alphabet. Those solutions are not based on the sounds that need to be practiced in order to cure speech disorders. Also, applications that have detection mechanisms are not currently available for wide access. This application mainly contains React-based interactive interfaces and a Python-programmed backend with machine-learning algorithms for functionality. This application can help to automate the process of detecting speech disorders and suggest therapy activities. Also, this application can track the patient's progress with the therapies. Used datasets contain the data with 70% accuracy and the test results gave a 68% percent success rate. This approach will be the first step in automating the complete process of speech disorder diagnosis. © 2023 IEEE.

关键词： Learning algorithms

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RubberMate - Integrated Platform for Rubber Crop Harvest and Production 5

RubberMate - Integrated Platform for Rubber Crop Harvest and...

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5th International Conference on Advancements in computing, ICAC 2023

作者： Perera, K.A.Y. Mandawela, M.K.C.N. Nilumika, H.L.G. Rasanjana, A.H.P. Mahaadikara, M.M.D.J.T. Hettiarachchi, Sathira Sri Lanka Institute of Information Technology Faculty of Computing Department of Computer Systems Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Faculty of Computing Department of Information Technology Malabe Sri Lanka

ISBN: (纸本)9798350358131

Rubber cultivation plays a vital role in the global economy as a primary natural rubber source necessitates efficient plantation management for sustainability and latex quality. This paper introduces an integrated mobile app that enhances rubber plantation management through real-time monitoring of tapping, disease identification via image processing, weed detection, and latex quality assessment. Addressing these challenges becomes pivotal to improving latex quality, minimizing waste, and promoting sustainable practices in the rubber industry. In conclusion, the proposed mobile application serves as a prospective solution for estate owners, utilizing selected algorithms to tackle these challenges effectively. © 2023 IEEE.

关键词： Sustainable development

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Advanced Weather Monitoring and Disaster Mitigation System with Interactive Weather Visualizations, Flood Zone Detection, Unplanned Drainage Identification, and Emergency Shelter Mapping including Optional Drought Intensity Prediction Capabilities 7

Advanced Weather Monitoring and Disaster Mitigation System w...

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7th International Conference on Circuit Power and computing Technologies, ICCPCT 2024

作者： Ranjani, M. Devaraju, Perada Sreeharshitha, Yengalasetty Viswesh, Mekala Dubey, Siddhanth SRM Institute of Science and Technology Faculty of Engineering and Technology Chennai India SRM Institute of Science and Technology Department of Computing Technologies Chennai India

ISBN: (纸本)9798350372816

The Advanced Weather Monitoring and Disaster Mitigation System is an essential resource for enhanced preparedness and response to unexpected events. It applies modern methods to show us dynamic weather images, detect regions susceptible to flooding, and present us with interactive weather maps. It is able of forecasting the intensity of an impending drought. These stupendous pictures and weather forecasts can assist everyone, including the public and authorities, make educated decisions and get ready for bad weather. In the case of flooding, the technology can detect high-risk areas, allowing officials to prepare ahead of time and safely evacuate citizens. It also looks for drainage problems before they cause disastrous flooding. By providing up-to-date information on local shelters, the system helps people find safe havens throughout emergencies. The alternative drought forecast may help farmers and water managers plan more effectively during dry spells. All of these components work together to protect us and lowered the effects of natural disasters. © 2024 IEEE.

关键词： Drought

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Software Test Suite Minimization Using Hybrid Metaheuristics

Software Test Suite Minimization Using Hybrid Metaheuristics

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Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference

作者： Bajaj, Anu Abraham, Ajith Sambyal, Nitigya Thapar Institute of Engineering and Technology Patiala India Faculty of Computing and Data Sciences Flame University Pune India

ISBN: (纸本)9783031397738

Software testing is a crucial requirement for software quality. Continuous integration and continuous development lead to the inevitable growth of test cases, resulting in potential redundancies. It is a laborious and time consuming task to perform exhaustive re-testing. Test case minimization is a regression testing technique that filters and removes redundant test cases to reduce time and cost. It is like the minimal set cover problem, which satisfies some constraints with limited resources. Optimization algorithms are possible candidates to solve such NP-hard problems. Therefore, this paper presents the application of the hybrid of Bat algorithm and differential evolution (BADE) which takes into account the interference from prey and companions for regression test suite reduction. Two improvements were introduced to this hybrid algorithm 1) by changing the intensity of the interference (IBADEc) and 2) use of elite bats to enhance the exploitation at early stages (IBADEe). The proposed algorithms have been compared with the existing nature-inspired algorithms. The experimental results show that the proposed hybrid algorithm IBADEe outperformed other algorithms. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Software testing

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Pathfinding with Dynamic Obstacles

Pathfinding with Dynamic Obstacles

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Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference

作者： Patil, Anshul Kamboj, Shreshtha Bajaj, Anu Abraham, Ajith Thapar Institute of Engineering and Technology Patiala India Faculty of Computing and Data Sciences Flame University Pune India

ISBN: (纸本)9783031397769

Pathfinding algorithms are often at the center of any AI movement system. It is required to provide agents mobility in developing a realistic artificial intelligence (AI) for real-world scenarios. Its main goal is to find the optimized path from source to destination by avoiding obstacles. Finding a path through a maze is a major issue as it can be complex due to maze size, number of obstacles and have multiple routes that may lead to dead end. This paper proposed a search algorithm that finds the shortest path with dynamically created obstacles between the source and destination. It uses the A star algorithm and Manhattan distance as heuristic measure. The experiment was performed on grids of 10 × 10 to 100 × 100 size with step size of 10 × 10 on different obstacles ranges. The algorithm’s overall performance is respectable, and it can determine the quickest route between any two points. The proposed algorithm will always return a path for less than 30% obstacles and in cases where feasible paths can be generated. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Artificial intelligence

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A Survey on Usage of Multimedia Databases for Emotion Elicitation: A Quantitative Report on How Content Diversity Can Improve Performance 46

A Survey on Usage of Multimedia Databases for Emotion Elicit...

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46th ICT and Electronics Convention, MIPRO 2023

作者： Horvat, M. Jercic, P. University of Zagreb Faculty of Electrical Engineering and Computing Department of Applied Computing Zagreb Croatia Graz University of Technology Institute of Interactive Systems and Data Science Graz Austria

ISBN: (纸本)9789532331042

Affective picture databases provide a standardized set of images to elicit controlled and consistent emotional responses in research participants. They are a valuable tool for studying various emotion-related phenomena across several research domains. These domains include emotion perception, emotion regulation, and the neural basis of emotion. However, affective picture databases have diverse schemas, structures, and content, making them difficult to use. Searching and retrieving optimal pictures relevant to affective stimulation may be challenging and time-consuming. In this context, we surveyed domain experts about their practices and experiences working with affective multimedia databases such as IAPS, NAPS, OASIS, GAPED, and others. The survey identified a need for novel data observatory software. This finding motivates the authors' intention to develop and validate such software platform that relies on AI. Such a platform would describe better, retrieve, and integrate various semi-structured affective multimedia datasets. The results prominently indicate the overwhelming dissatisfaction regarding stimuli content diversity and cultural bias, specifically regarding emotional and semantic context. The main driver of satisfaction from users of existing automated retrieval software is the quality of semantic descriptors available. This points to the direction AI should take in novel data observatory software. This survey follows up on a similar survey conducted ten years ago and explores the differences in researchers' opinions and experiences during that time. The complete aggregated results are publicly available at https://***/mhorvat/stimdbsurvey. © 2023 MIPRO Croatian Society.

关键词： Database systems

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Charging Control of A Vanadium Redox Flow Battery Integrated with Solar PV Plant 32

Charging Control of A Vanadium Redox Flow Battery Integrated...

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32nd IEEE International Symposium on Industrial Electronics, ISIE 2023

作者： Hajihosseini, Mojtaba Car, Mateja Aleem, Zeeshan Lešić, Vinko University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Renewable Energy Systems Croatia Vestas Arhus Denmark

ISBN: (纸本)9798350399714

Renewable energy sources such as solar and wind power are increasingly being used as alternative energy sources globally to create a low carbon society. For the next generation grid with significant share of distributed energy sources, energy storage technologies are essential. Vanadium redox flow batteries (VRFBs) have many advantages over other energy storage technologies. In the context of the solar plant operation, these batteries can significantly improve ancillary services of frequency regulation and voltage control to support the grid. This paper develops a VRFB model to apply a stand-alone solar system for residential applications. Both maximum power point tracking and voltage control modes are applied to the solar system. A bidirectional DC-DC converter is designed for management of the 5 kWh battery system. The vanadium redox flow battery (VRFB) is used to control the unpredictability of energy supply, serving both as an energy source and a consumer. Introduction of the VRFB and corresponding energy management system enables smoothening and energy shift of solar output, enhances the system reliability with real-time monitoring, operation, regulation, stable and effective operation, and overall system performance optimization. Described system is validated by simulations in MATLAB/Simulink. © 2023 IEEE.

关键词： Maximum power point trackers

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A Survey on the Role of Complex Networks in IoT and Brain Communication

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Computers, Materials & Continua 2023年第9期76卷 2573-2595页

作者： Vijey Thayananthan Aiiad Albeshri Hassan A.Alamri Muhammad Bilal Qureshi Muhammad Shuaib Qureshi Cybersecurity Department Faculty of ComputingEngineering and ScienceUniversity of SouthWalesWalesUK Department of Computer Science Faculty of Computing and Information Technology(FCIT)King Abdulaziz UniversityJeddah21589Saudi Arabia Computer Science Department Umm Al-Qura UniversityMakkah21955Saudi Arabia Department of Computer Science&IT University of Lakki MarwatLakki Marwat28420KPKPakistan Department of Computer Engineering Chungnam National UniversityDaejeon34134Republic of Korea

Complex networks on the Internet of Things(IoT)and brain communication are the main focus of this *** benefits of complex networks may be applicable in the future research directions of 6G,photonic,IoT,brain,etc.,communication *** data traffic,huge capacity,minimal level of dynamic latency,*** some of the future requirements in 5G+and 6G communication *** emerging communication,technologies such as 5G+/6G-based photonic sensor communication and complex networks play an important role in improving future requirements of IoT and brain *** this paper,the state of the complex system considered as a complex network(the connection between the brain cells,neurons,etc.)needs measurement for analyzing the functions of the neurons during brain ***,we measure the state of the complex system through *** 5G+/6G-based photonic sensor nodes,finding observability influenced by the concept of contraction provides the stability of *** IoT or any sensors fail to measure the state of the connectivity in the 5G+or 6G communication due to external noise and attacks,some information about the sensor nodes during the communication will be ***,neurons considered sing the complex networks concept neuron sensors in the brain lose communication and ***,affected sensor nodes in a contraction are equivalent to compensate for maintaining stability *** this compensation,loss of observability depends on the contraction size which is a key factor for employing a complex *** analyze the observability recovery,we can use a contraction detection algorithm with complex network *** survey paper shows that contraction size will allow us to improve the performance of brain communication,stability of neurons,etc.,through the clustering coefficient considered in the contraction detection *** addition,we discuss the scalability of IoT communication using 5G+/6G

关键词： Complex networks emerging communication IoT based on 6G systems neuroscience photonic technology

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