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检索条件"任意字段=2023 International Research Conference on Smart Computing and Systems Engineering, SCSE 2023"

共 8093 条记录，以下是191-200 订阅

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Speech Recognition Algorithm for smart Home Scenarios based on Multimodal Information Fusion 2

Speech Recognition Algorithm for Smart Home Scenarios based ...

引用

2nd IEEE international conference on Integrated Intelligence and Communication systems, ICIICS 2024

作者： Li, Zhuoxi Ye, Xiaoying Kuang, Huiyu School of Computing Guangdong Neusoft University Foshan China

ISBN: (纸本)9798331504960

With the rapid development of smart home technology, how to improve the accuracy and efficiency of speech recognition in smart home environments has become an urgent problem that needs to be solved. This article first uses convolutional neural networks to process the obtained visual information and analyze the speaker's facial movements and mouth movements;at the same time, long short-term memory networks are used to process audio signals in order to capture time series features of speech. Next, the information from these two modalities is combined in a fusion layer and weighted to optimize the information weights between modalities. At distances of 2 meters and 3 meters, the accuracy rates were 90.3% and 85.0%, respectively, indicating that the system still maintains high recognition performance at these distances. Through this study, we demonstrate the practical application value and broad potential of multimodal information fusion technology in smart home speech recognition scenarios, providing feasible technical paths and theoretical support for the optimization of future smart home systems. © 2024 IEEE.

关键词： Information fusion

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ExploreLah: Personalised and smart Trip Planner for Mobile Tourism

ExploreLah: Personalised and Smart Trip Planner for Mobile T...

引用

2023 IEEE international conference on Industrial engineering and engineering Management, IEEM 2023

作者： Gunawan, A. Hoe, S.L. Lim, X.Y. Tran, L.C. Nguyen, D.V.A. School of Computing and Information Systems Singapore Management University Singapore

ISBN: (纸本)9798350323153

Various recommender systems for mobile tourism have been developed over the years. However, most of these recommender systems tend to overwhelm users with too much information and may not be personalised to user preferences. In this paper, we introduce ExploreLah, a personalised and smart trip planner for exploring Point of Interests (POIs) in Singapore. The user preferences are categorised into five groups: shopping, art & culture, outdoor activity, adventure, and nightlife. The problem is considered as the Team Orienteering Problem with Time Windows. The algorithm is developed to generate itineraries. Simulated experiments using test cases were performed to evaluate and validate the usability of the current version. © 2023 IEEE.

关键词： Algorithm point of interests recommender system trip planner

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Development of an Intelligent Information System 'smart Deposit' for Mineral Water Resourse 26

Development of an Intelligent Information System 'Smart Depo...

引用

26th international conference on Soft computing and Measurements, SCM 2023

作者： Mishin, Vladimir V. Tcapleva, Valentina V. Myasnikova, Elena V. Makarova, Anastasiya A. Department of Control Systems and Information Technologies Pyatigorsk Russia

ISBN: (纸本)9798350322484

The development of an intelligent information system 'smart Deposit' for mineral water recourse is an absolute innovation in this subject area. For oil and gas fields, smart well technologies have been used for more than two decades. Mineral water extraction processes differ from oil extraction technologies, so the development of intelligent mechanisms of the smart Field system is based on many years of research in the subject area conducted by the North Caucasus Federal University. © 2023 IEEE.

关键词： Deposits

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Deep learning approach for smart home security using 5G technology

Deep learning approach for smart home security using 5G tech...

引用

international conference on Artificial Intelligence, Blockchain, computing and Security, ICABCS 2023

作者： Amanullah, M. Chaudhary, Sumit Yalini, R. Balaji, M. Vijaya Sudha, M. Dhanraj, Joshuva Arockia Department of Computer Science and Engineering Saveetha School of Engineering Tamil Nadu Chennai India Department of Computer Science and Engineering Indrashil University Gujarat Rajpur India Department of Electrical and Electronics Engineering Jayam College of Engineering and Technology Tamil Nadu Nallanur Dharmapuri India Department of Electronics and Communication Engineering Mohan Babu University Andhra Pradesh Tirupati India Department of Computer Science and Engineering Ramachandra College of Engineering Andhra Pradesh Eluru India Department of Mechatronics Engineering Hindustan Institute of Technology and Science Tamil Nadu Padur Chennai India

ISBN: (纸本)9781032669663

With the advent of 5G technology, the entire world will soon be permanently connected, which will connect everything from the biggest megacities to the smallest internet of things. Such a connected hierarchy must integrate the internet of things, smart homes, and smart cities into a single, comprehensive infrastructure. In this research, a fourlayer design is proposed that employs technologies including 5G, the internet of things and deep learning that connect and interface various elements. The research that existing deep learning methods for IoT in smart homes. Deep learning has been used in numerous domains and provides outcomes that are superior to those of human specialists. Deep learning can be typically regarded as an essential move toward genuine AI. Numerous data flows are produced in the detecting areas as a result of such IoT’s development using the 5G standards and uploaded to the cloud for further analysis. Better IoT aid may even be achieved by integrating big data extraction and deep learning in efficient ways. High dependability standards, extremely low latencies, additional capacity, increased security, and high-speed user interaction required for the upcoming 5G network. Also consider future trends, unresolved problems, and insights related to employing deep learning techniques to improve IoT security. As a result, the adoption of deep learning algorithms in the 5G networks has the prospect of enhancing people’s way of life through automating and competence. © 2024 The Author(s).

关键词： 5G mobile communication systems

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smart Farming for Agriculture Management Using IOT 9

Smart Farming for Agriculture Management Using IOT

引用

9th international conference on Advanced computing and Communication systems, ICACCS 2023

作者： Rao, G Balu Narasimha Rao, K Venkateswara Kamarajugadda, Raviteja Reddy, Avuthu Avinash Rani, P Padmini Vignan's Foundation of Science Technology and Research Department of CSE Vadlamudi Guntur India Vignan's Lara Institute of Technology and Science Department of CSE Vadlamudi Guntur India Lakireddy Bali Reddy College of Engineering Department of IT Mylavaram Vijayawada India Vignan's Foundation of Science Technology and Research Department of Advanced Computer Science and Engineering Vadlamudi Guntur India

ISBN: (纸本)9798350397376

smart farming is an raising idea because IOT sensors are giving information about agricultural fields and take action based on the given input. The scarcity of food and huge growth of population are the most provocation facing the growth of global. Latest technologies like Internet of Things (IoT), Artificial Intelligence(AI) and the high speed internet are providing the practical solutions to the new challenges facing by the global. smart farming creates a feasible to record and identify many assorted and scientific arguments through latest tools and devices to trace the operations performed by the end users. The article of this paper contain evolution smart farming is a raising idea because internet of things (IOT) sensors are efficient of a technique which can measure temperature, pH level and condition of the soil. It sends an SMS alert to the farmer mobile through GSM module so the farmers can keep track of the fields condition from any place. It also helps in maintaining water by automatically providing water to the fields depending on the water requirements. It is mostly used in fields, lawns and parks. In addition to this, effect of environment is reduced and enlarges the quality & quantity and more importantly overall viability will increase. © 2023 IEEE.

关键词： Facings

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CCGRA: smart Contract Code Comment Generation with Retrieval-enhanced Approach 35

CCGRA: Smart Contract Code Comment Generation with Retrieval...

引用

35th international conference on Software engineering and Knowledge engineering, SEKE 2023

作者： Zhang, Zhenhua Chen, Shizhan Fan, Guodong Yang, Guang Feng, Zhiyong College of Intelligence and Computing Tianjin University Tianjin China The College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China

smart contracts are self-executing programs on the blockchain that are critical to a range of industries, including finance, supply chain management, and healthcare. However, comprehending smart contracts can be challenging due to a lack of effective comments in most user-defined code. To address this challenge, we propose a novel retrieval-enhanced approach CCGRA that leverages retrieval knowledge to generate high-quality comments for Solidity language code. Our approach carefully eliminates duplicated data and template data in the widely-used smart contract dataset to ensure a high-quality corpus. Extensive experiments and comprehensive analysis demonstrate the effectiveness applicability of our approach after being compared with eight state-of-the-art baselines. Finally, we conduct a human study and find the comment quality generated by our approach is better than baselines in terms of similarity, naturalness, and informativeness. © 2023 Knowledge systems Institute Graduate School. All rights reserved.

关键词： smart contract

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Towards a smart EM Environment - Challenges, Opportunities, and Trends

Towards a Smart EM Environment - Challenges, Opportunities, ...

引用

IEEE international conference on Microwaves, Communications, Antennas, Biomedical engineering and Electronic systems (COMCAS)

作者： Benoni, Arianna Capra, Federico Da Ru, Pietro Oliveri, Giacomo Rocca, Paolo Salucci, Marco Zardi, Francesco Massa, Andrea Univ Trento DICAM ELEDIA Res Ctr ELEDIA UniTN Trento Italy Xidian Univ ELEDIA Res Ctr ELEDIA XIDIAN Xian Peoples R China UESTC ELEDIA Res Ctr ELEDIA UESTC Chengdu Peoples R China Tel Aviv Univ Sch Elect Engn Tel Aviv Israel

ISBN: (纸本)9798350348194;9798350348187

The smart ElectroMagnetic Environment (SEME) is a disruptive paradigm aimed to revolutionize the design of future wireless systems and infrastructures. Some of the most relevant challenges, opportunities, and trends within such a rapidly emerging framework are discussed in this work. Towards this end, recent SEME implementations including numerial and experimental results are surveyed and discussed, highlighting the SEME key features and potentialities as well as envisaging the necessary next steps in such research area.

关键词： smart ElectroMagnetic Environment (SEME) 6G Wireless Communications Static-Passive Electromagnetic Skins (SP-EMSs) Reconfigurable-Passive Electromagnetic Skins (RP-EMSs) Planning

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smart Contract Parallel Execution with Fine-Grained State Accesses 43

Smart Contract Parallel Execution with Fine-Grained State Ac...

引用

43rd IEEE international conference on Distributed computing systems (ICDCS)

作者： Qi, Xiaodong Jiao, Jiao Li, Yi Nanyang Technol Univ Singapore 639798 Singapore

ISBN: (纸本)9798350339864

As various optimizations being proposed recently, the performance of blockchains is no longer limited by the consensus protocols, successfully scaling to thousands of transactions per second. To further improve blockchains' throughput, exploiting the parallelism in smart contract executions becomes a clear solution to resolve the new performance bottleneck. The existing techniques perform concurrency control on smart contract transactions based on pre-determined read/write sets, which can hardly be calculated precisely. As a result, many parallelization opportunities are missed in order to maintain the correctness of transaction executions. In this paper, we propose a novel execution scheduling framework, DMVCC, to further increase the parallelism in smart contract executions, via more fine-grained control on state accesses. DMVCC improves over existing techniques with two key features: (1) write versioning, eliminating the write-write conflicts between transactions, and (2) early-write visibility, enabling other transactions to read the writes from a transaction earlier, before it being committed. We integrated DMVCC into the Ethereum Virtual Machine, to evaluate its performance in real-world blockchain environments. The experimental results show that DMVCC doubles the parallel speedup achievable to a 20x overall speedup, compared with the serial execution baseline, approaching the theoretical optimum.

关键词： Parallel execution smart contract blockchain

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A research Survey on Security Enhancement in WSN-based IoT Applications 10

A Research Survey on Security Enhancement in WSN-based IoT A...

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17th INDIACom;2023 10th international conference on computing for Sustainable Global Development, INDIACom 2023

作者： Bhandiwad, Vinita Vikram Ragha, Lakshmappa K. Terna Engineering College University of Mumbai Department of Electronics and Telecommunication Engineering Mumbai India University of Mumbai Department of Computer Engineering Terna Engineering College Mumbai India

ISBN: (纸本)9789380544472

The Internet of Things (IoT) is a contemporary technology that makes it possible to connect physical and digital devices. The Wireless Sensor Network is a substantial wireless network used to monitor the environment and relay the results to users. Security and energy efficiency are both seen as crucial factors in WSN-based IoT that are concerned with extending network lifetime. researchers used a variety of approaches to create a smart security system to address the aforementioned issues. A variety of performance indicators is used to validate the generated systems in their study. In this research, the history of IoT, WSN, the significance of WSN in IoT, and the taxonomy of the many IoT layers are briefly discussed. Additionally, various approaches, system performances & their results, benefits, and limits are briefly explored in the sections of literature survey and comparative analysis. © 2023 Bharati Vidyapeeth, New Delhi.

关键词： Wireless sensor networks

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Detection of Malicious Messages from Mobile computing Devices Using NLP and Slack Integration

Detection of Malicious Messages from Mobile Computing Device...

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2023 international conference on Innovative computing, Intelligent Communication and smart Electrical systems, ICSES 2023

作者： Ramya, N. Devi, M. Kiruthiga Nithya, K. Hema, V. Thomas Abragam Walker, R. Sri Sairam Engineering College Department of CSE Chennai India Dr. M.G.R. Educational and Research Institute Department of IT Chennai India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of CSE Chennai India Sathyabama Institute of Science and Technology Department of CSE Chennai India

ISBN: (纸本)9798350319200

SMS has emerged as one of the most essential ways of communication in the present-day world, when digitalization increasingly widespread. Despite various chatting-based messaging systems like Facebook, WhatsApp, etc., SMS doesn't demand an active connection to the internet. Criminals and spammers frequently attempt to access mobile computer systems. As a result, hackers are attempting to join the system by delivering a harmful link, making text messages assistance for handheld devices vulnerable;by visiting those hyperlinks, attackers can take control of the mobile computing device remotely. Therefore, in order to identify such communications, built a system that can determine if a message is SPAM or HAM (malicious or not harmful) as well as whether it is malicious. Utilising natural language processing, the system operates. The modal is used to provide a web-based user interface and Slack Integration. © 2023 IEEE.

关键词： Ham Internet Natural Language Processing (NLP) Slack Spam

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