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检索条件"任意字段=3rd International Conference on Signal and Data Processing, ICSDP 2023"

共 2957 条记录，以下是601-610 订阅

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Design and Implementation of a Low-cost Solar Charged Portable Disinfectant Chamber 3

Design and Implementation of a Low-cost Solar Charged Portab...

引用

3rd international conference on Robotics, Electrical and signal processing Techniques, ICREST 2023

作者： Rofique, Ruham Alif, Md. Yasin Arafat Himu, Suprio Saha Naima, Fahmida Zahin Hossain, Chowdhury Akram American International University-Bangladesh Department of Electrical and Electonic Engineering Dhaka Bangladesh

ISBN: (纸本)9798350346435

Health safety is always one of the key concerns for human lives. During this current pandemic, people have become more aware of this fact and have started following different precautions. In this paper, we have discussed a prototype of a cost-efficient and environmentally friendly disinfection chamber that can help to solve the public health risk that was brought to our attention. Currently, power generation costs have also increased due to inflation and fuel price hikes. There is a lack of power supply for that. To ensure the proper demand for power, the whole world focused on renewable energy. While developing the prototype, we tried to use the widely available resources in our local market so that it reduces the cost as well as can be easily repairable and upgradeable. Although we have used solar panels in the system, due to the portability and availability of power, we have also used a battery system which can supply power to the chamber for over 8 hours. We also discussed a few future works on the proposed system, with a focus on solar system improvement. © 2023 IEEE.

关键词： Personnel training

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A Multimodal Approach to Multispeaker Summarization and Mind Mapping for Audio data 3

A Multimodal Approach to Multispeaker Summarization and Mind...

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3rd international conference on Advanced Computing Technologies and Applications, ICACTA 2023

作者： Modi, Hridayraj Patel, Aunali Joshi, Isha Kanani, Pratik D.J. Sanghvi College of Engineering Department of Computer Engineering Mumbai India

ISBN: (纸本)9798350348347

With recent global events resulting in a shift in the work setting and way of life worldwide, most educational institutes and corporate organizations have been forced to conduct their day-to-day operations online. Lectures and meetings that are conducted online can be downloaded and users can store these recorded meetings. Owing to the latest technological advancements, storage capacities are no longer a hindrance when storing and using this data. However, storing these recorded meetings will only be helpful when users can access and browse them quickly. This paper proposes implementing a multi-speaker speech summarization model to benefit from the content captured in meeting recordings. Browsing through audio-visual data for information can be a time-consuming task for humans since manual summary generation would require a person to sit through the whole meeting. This can be overcome by combining Natural Language processing techniques with text summarization to generate the transcript of a meeting. By performing speaker diarization, the various speakers in a multi-speaker meeting are identified, and accordingly, labels are assigned to every participant in the transcript. The model then performs summarization for individual speakers as well as the whole meeting and creates a mind map to represent the meeting minutes visually. Thus, this paper provides an efficient manner of reviewing meetings and labelling them for future reference. © 2023 IEEE.

关键词： Mapping

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Research on AIS data analysis application in port management 3

Research on AIS data analysis application in port management

引用

3rd international conference on Electronic Information Engineering and data processing, EIEDP 2024

作者： Wu, Enze Lv, Xinyue Zou, Yujuan College of Information Engineering Jiangsu Maritime Institute Nanjing211170 China School of Information Management Nanjing University Nanjing210023 China

ISBN: (纸本)9781510680531

With the continuous development of water transportation in China, ships entering and leaving the ports have become increasingly significantly. The Automatic Identification System (AIS) provides powerful data support for port management by transmitting critical information such as ship location, heading, and speed in real-time. Based on data warehouse technology, a port ship management platform is constructed, and it uses AIS data analysis to achieve dynamic monitoring for ship trajectories and operations. The platform employs a refined layered design that encompasses key aspects such as data acquisition, processing, storage, and visualization, optimizing the data processing workflow and significantly enhancing the stability and flexibility of the platform. It utilizes message queues for real-time data acquisition and performs immediate processing through stream computing. The processed data is intelligently stored in corresponding data storage services based on its granularity. With a front-end and back-end separation design approach, the platform presents data to users in an intuitive and clear graphical format. The analysis of AIS data not only facilitates the efficient management of ship arrivals and operations in ports, but also contributes to the optimization of berth allocation, channel management, and personnel scheduling, ultimately enhancing the overall efficiency of port management. © 2024 SPIE.

关键词： Ships

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Streamlining Information Capture and Retrieval with AI-Enabled Systems 3

Streamlining Information Capture and Retrieval with AI-Enabl...

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3rd international conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Sudhamsu, Gadug Agarwal, Ankita Dhivrani, Rekha Bhanu, K.S. Jeyalaxmi, M. Nawadkar, Ashwini R. Faculty of Engineering and Technology Karnataka Bangalore India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Vivekananda Global University Department of Computer Science & Engineering Jaipur India Atlas SkillTech University Department of UGDX Maharastra Mumbai India Prince Shri Venkateshwara Padmavathy Engineering College Department of Science and Humanities Chennai127 India Vishwakarma Institute of Information Technology Department of Artificial Intelligence & Data Science Pune India

ISBN: (纸本)9798350319125

artificial intelligence (AI) is an emerging era that has proven to have a fantastic capacity to revolutionize how facts are captured and retrieved. AI-enabled systems offer an expansion of abilities to streamline the system of accumulating, managing, storing, and retrieving data. AI-enabled structures provide several benefits, such as using predictive analytics and herbal Language processing (NLP) to extract records more effectively and correctly and automated pass-referencing competencies to simplify locating records. AI-enabled systems make indexing and saving statistics easier, allowing users to look for the relevant data they need quickly. AI-enabled structures offer higher security measures and encryption techniques for defensive touchy facts. Functions like facial recognition, gadget mastering algorithms, and get admission to hold data safe and far from malicious actors. Such systems may control and store statistics securely, correctly, and managed. AI-enabled systems provide an excellent suite of features for streamlining the manner of seizure and retrieval of statistics. AI answers, including predictive analytics, natural language processing, and automated cross-referencing, allow groups to quickly get the right of entry to the relevant information they need, even by providing higher safety features for included facts. In destiny, this technology might also grow to be even greater advanced, assisting businesses in gaining facts to electricity predictive analytics, helping in advertising efforts, and enhancing the organizational operation. © 2023 IEEE.

关键词： information organizational predictive processing security

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IoT-Based Automatic Shed System to Prevent Unwanted Rain for Growing Crops 3

IoT-Based Automatic Shed System to Prevent Unwanted Rain for...

引用

3rd international conference on Robotics, Electrical and signal processing Techniques, ICREST 2023

作者： Reza, Md Sabbir Hossen, Md Imon Afrose, Sumaiya Niloy, Khalid Mahmud Kabir, Md Shahriar Electrical & Electronics Engineering American International University-Bangladesh Dhaka Bangladesh

ISBN: (纸本)9798350346435

Agricultural countries like Bangladesh lose large amounts of crops due to unseasonal rain, which is concerning to the country's economy. This project aims to deliver a proper shed system for saving crops or plants from unwanted rain, which is innovative, cheaper, and effective. The most important advantage of this system is that it is fully automated such as: When it rains, the shed system opens automatically, and when it stops raining, the shed system closes automatically by sensing the rain with the help of a rain sensor and the user will be notified through IoT. For IoT purposes, a Wi-Fi module is used and for this, it is possible to get notifications on phone. This project also describes the project model, testing, and hardware. This system consists of the innovative design of an umbrella system for the shed system, which opens and closes with the help of a high-torque motor and is fully automated and controlled by Arduino. This umbrella shed system is the heart of the project which will protect the crops from unwanted rain as a result people will be benefitted and the economy in the agriculture sector will rise beyond expectations. © 2023 IEEE.

关键词： Rain

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Research on the design of scientific research management platform based on big data analysis 3

Research on the design of scientific research management pla...

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3rd international conference on Green Communication, Network, and Internet of Things, CNIoT 2023

作者： Wang, Youyu Lin, Chao Assets and Experimental Equipment Management Division Xiamen University of Technology Xiamen China Network Information Center Xiamen University of Technology Xiamen China

ISBN: (纸本)9781510668867

In this paper, the management of scientific research problems faced in-depth analysis, on the basis of research-related big data processing technology, the framework of scientific research management platform based on big data analysis is proposed and the design of key modules is given，which promotes the development of scientific research management system from programmed management to decision assistant and intelligent management. It can help fine scientific research management, improve the quality of personalized scientific research service, and provide reference for the construction of scientific research management platform. © 2023 SPIE.

关键词： Big data

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signal processing for Language Sanitization: Detection and Censorship of Obscene Words in Speech Recordings 3rd

Signal Processing for Language Sanitization: Detection and C...

引用

3rd international conference on Emergent Converging Technologies and Biomedical Systems, ETBS 2023

作者： Jameel, Mohd Mazin Aamir, Zenab Wajid, Mohd Usman, Mohammed Department of Electronics Engineering Z.H.C.E.T Aligarh Muslim University Aligarh India Department of Computer Science and Engineering AMS College of Engineering Anna University Chennai India

ISBN: (纸本)9789819986453

In this paper, we have given a method for automatically detecting and censoring obscene and profane words from digital speech signals. Our method involves denoising the speech signal using spectral subtraction, converting speech into text, and examining it for the existence of obscene words with the help of a pre-defined lexicon. If an obscene word is present, speech and text registration is employed to identify the start and end times of the unwanted word in the actual speech. We insert a beep sound in place of the obscene word, providing an effective and socially acceptable method of censoring obscene and profane words from digital speech. The algorithms have been tested with the real speech signal and the results are promising. Our proposed method offers an effective approach to sanitizing speech signals by removing obscene and profane language in a socially acceptable manner. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Speech processing

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Blockchain-Based Ciphertext Access Control for data Sharing 3

Blockchain-Based Ciphertext Access Control for Data Sharing

引用

3rd international conference on signal Image processing and Communication, ICSIPC 2023

作者： Wu, Wenli Zhao, Jinyi Chen, Taowei Yu, Yimin School of Information Yunnan University of Finance and Economics Kunming650221 China School of Logistics and Management Engineering Kunming650221 China Intelligent Application Research Institute Yunnan University of Finance and Economics Kunming650221 China

ISBN: (纸本)9781510670945

Currently, with the continuous in-depth research and application of blockchain access control, security issues on the blockchain have become a focus of attention. Based on CPABE, this paper proposes a trusted and secure blockchain access control scheme based on ciphertext policy. Firstly, a decentralized attribute-based encryption algorithm (DABE) is adopted to achieve distributed calculation of user attribute private keys, effectively solving the problems of high trust cost and single point of failure caused by the key center generating private keys in traditional CPABE. At the same time, a private key consensus verification protocol based on zero-knowledge proof is designed to ensure the correctness and security of user attribute private keys without leaking private key information. Through the analysis of on-chain security and experimental simulation, the results show that this scheme has better performance while maintaining high security and is more suitable for distributed access control with large attribute scales. © 2023 SPIE.

关键词： Access control

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Isolation Forest Based Anomaly Detection and Fault Localization for Solar PV System 3

Isolation Forest Based Anomaly Detection and Fault Localizat...

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3rd international conference on Robotics, Electrical and signal processing Techniques, ICREST 2023

作者： Kabir, Shaharier Shufian, Abu Zishan, Md. Saniat Rahman American International University-Bangladesh Department of Electrical and Electronic Engineering Dhaka1229 Bangladesh Institute of Energy Technology Chittagong University of Engineering & Technology Chattogram4349 Bangladesh

ISBN: (纸本)9798350346435

The decrease in fossil fuel reserves has prompted a global move toward distributed energy resources. For this reason, solar PV power generation has recently gained much attention as a feasible renewable energy source. However, large-scale generation is challenging if there are anomalies in individual solar PV panels. This will reduce the efficiency of the PV system and create a potential fire hazard. In this perspective, the anomaly detection technique discloses system anomalies accurately and effectively. Identified anomalies will localize the event for an improved generation. This paper addresses the performance analysis of using the isolation forest technique to identify anomalies in the PV system and the rule-based fault localization technique to identify defective panel events. In the developed model, the isolation forest technique found around 453 anomalies in 45,740 observations, and approximately six panels indicated a fault in the system. The accuracy score is found to be approximately 0.9886. The proposed fault detection method will help detect the faults in solar power systems. © 2023 IEEE.

关键词： Fault detection

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Research on Long Term Parking Node Screening Technology Based on the Threshold of Freight Vehicle Parking Speed 3

Research on Long Term Parking Node Screening Technology Base...

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3rd international conference on Internet of Things and Smart City, IoTSC 2023

作者： Yuan, Jun-Li Pei, Ai-Hui Li, Tao Feng, Xiao Research Institute of Highway Ministry of Transport No. 8 West Tucheng Road Haidian District Beijing China

ISBN: (纸本)9781510666375

The road freight industry is an important part of China's comprehensive transportation system. Promoting the high-quality development of road freight requires improving the industry's dynamic monitoring and analysis capabilities. The origin destination (OD) distribution of road freight demand is one of the key monitoring and analysis contents in the road freight industry and there are many problems in the traditional data acquisition methods. Because it is difficult to obtain the freight OD data, this paper relies on the vehicle geographic information data in the existing road freight vehicle dynamic monitoring platform, uses the data processing technology based on the big data of freight vehicle tracks, focuses on the key technologies such as long-term parking node screening and achieves efficient and accurate identification of freight vehicle parking points. This paper builds a foundation for subsequent OD analysis, improves the dynamic analysis and monitoring system of China's road freight industry. It strongly supports the transformation of industry management from "traditional experience judgment" to "data decision-making", promotes the improvement of industry management level, and promotes the modernization of industry governance system. © 2023 SPIE.

关键词： data acquisition

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