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共 3246 条记录，以下是1421-1430 订阅

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Using the Kalman Filter for Purposes of Road Condition Assessment 16th

Using the Kalman Filter for Purposes of Road Condition Asses...

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16th Scientific and Technical conference on Transport Systems - Theory and Practice (TSTP)

作者： Staniek, Marcin Silesian Tech Univ Fac Transport Katowice Poland

ISBN: (纸本)9783030355432;9783030355425

This article provides a discussion on the use of the Kalman filter at the stage of analysis of vehicle motion dynamics to assess the condition of the road transport infrastructure. The tool used to record the vehicle motion dynamics was the Road Condition Tool application designed and implemented as a part of the international S-mile project under the programme entitled ERANET: Transport - Sustainable logistics and supply chains. An outcome of the data recording and analysis is a description of the operating condition of road pavements. The concept addressed in the study, namely the implementation of the Kalman filter at the data analysis stage, makes it possible to reduce the input data set, which affects the measuring tool's response time. On the other hand, the adopted signal filtration procedure allows for the infrastructure condition to be described in a more favourable manner from the perspective of the conclusions to be formulated.

关键词： Road pavement condition Assessment of road infrastructure Vehicle motion dynamics smart city ICT application

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intelligent Monitoring System of High-Voltage Cabling

Intelligent Monitoring System of High-Voltage Cabling

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international conference on Machine Learning and Big data analytics for IoT Security and Privacy, SPIoT 2020

作者： Huang, Yingmin Hu, Chaoqiang Xu, Cuishan Guangzhou Panyu Cable Group Co. Ltd. GuangzhouGuangdong Province511442 China

ISBN: (纸本)9783030627423

As the society and information technology has developed, the intelligent monitoring system of high-voltage cabling has been comprehensively applied. Most high-voltage cables have adopted measures for safe protection to protect the conductive core multi-layer protective layer. And high-voltage cables are buried deep underground, the enclosed space is not susceptible to be disturbed from external factors, and the line failure may not occur. But it is precisely because it is buried underground and requires a more elaborate laying process, it can eventually cause the failure of the entire circuit system once there are small problems. China is overpowered and the power grid covers a large area. Once there is a problem with the high-voltage cable, it is difficult to find the location and type of cable fault. The traditional cable troubleshooting method requires a lot of manpower, material and financial resources, and the efficiency is not high, which seriously affects the lives of residents and the production of enterprises. To transform cable circuits is an effective way to solve circuit faults. Therefore, it is of great practical and significant to use high-tech to implement real-time monitoring of cable circuits, find the faults at the first time, and perform fault handling in a timely manner. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Cables

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Reasonable Approach and Development Trend of Artificial Intelligence Sports Development

Reasonable Approach and Development Trend of Artificial Inte...

引用

international conference on Machine Learning and Big data analytics for IoT Security and Privacy, SPIoT 2020

作者： Chen, Longqiang Ministry of Public Sports Fujian Agriculture and Forestry University Fuzhou350002 China

ISBN: (纸本)9783030627423

Based on the literature, logical analysis, and progressive reasoning are used to sort out the development ideas of artificial intelligence sports, explore the law of development, and propose a path for future development. Artificial intelligence sports is an inevitable way to integrate sports informatization and sports industrialization. The core point is based on sports big data and the use of deep learning algorithms to mine valuable information. At present, it has been continuously promoted in the field of competitive sports and is also being used for national fitness. The field is gradually spreading, which has the effect of improving the level of professional sports competition and facilitating public fitness. At the industrial level, the artificial intelligence sports industry is dominated by small and micro enterprises, and the industrial development is uneven. To promote the further development of artificial intelligence sports, from the policy level, it is necessary to introduce macro-encouraging policies and establish supporting regulatory systems;from the technical level, it is necessary to build an interconnected sports big data platform to solve negative problems through technical solutions;It is necessary to optimize the industrial structure and promote sports consumption. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Big data

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Research on the application of big data technology in electronic commerce supply chain

Research on the application of big data technology in electr...

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2020 international conference on intelligent Transportation, Big data and smart City, ICITBS 2020

作者： Ziang, Song Li, Baohua Yunnan Technology and Business University Kunming Yunnan651700 China

ISBN: (纸本)9781728166971

In order to realize the application of big data technology in e-commerce supply chain, this paper puts forward a novel application method of e-commerce supply chain based on big data technology. This method is based on big data technology, combines the Internet of things technology and cloud computing technology, constructs the big data platform of the e-commerce supply chain, and can mine and analyze the data in the e-commerce supply chain. The research results show that this method can promote the application and development of big data technology in e-commerce supply chain and bring great convenience for businesses and customers. © 2020 IEEE.

关键词： Supply chains

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Car Parking data Processing Technique for smart Parking System as Part of smart City

Car Parking Data Processing Technique for Smart Parking Syst...

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international Scientific conference on Intellectual Systems of Decision-Making and Problems of Computational Intelligence (ISDMCI)

作者： Popereshnyak, Svitlana Yurchuk, Iryna Taras Shevchenko Natl Univ Kyiv Kiev Ukraine

ISBN: (纸本)9783030542153;9783030542146

The most useful property of any smart system is to have such characteristics as to simulate the process of thinking in order to simplify activities. This smart parking includes data on location of the car with optimal topology of sensors placement, violation created, and some additional services. The results of it are list of tariffs, list of clients registered in the system, list of registered equipment, list of zones in which the system operates, and list of violations. It includes the following services: active service (for replacing the paper ticketing system and provide instructions to drivers, giving car drivers the ability to use their RFID tag to manage parking), car search service, intelligent parking, regulation, parking security services, availability status, parking lot service maintenance, parking control for automatic door opening, and checking remote access via the Internet and/or GSM network for real-time monitoring. But it is not intended for a specific city, and is a universal solution that can be adapted to any city.

关键词： smart parking Internet speech Wireless sensor network RFID Switch Sensoracoustic emission signal

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A Systematic Mapping Study of Cloud Large-Scale Foundation-Big data, IoT, and Real-Time analytics 3rd

A Systematic Mapping Study of Cloud Large-Scale Foundation-B...

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international conference on data Management, analytics and Innovation (ICDMAI)

作者： Odun-Ayo, Isaac Goddy-Worlu, Rowland Abayomi-Zannu, Temidayo Grant, Emanuel Covenant Univ Dept Comp & Informat Sci Ota Nigeria Univ North Dakota Sch Elect Engn & Comp Sci Grand Forks ND USA

ISBN: (纸本)9789813299498;9789813299481

Cloud computing is a unique concept which makes analysis and data easy to manipulate using large-scale infrastructure available to Cloud service providers. However, it is sometimes rigorous to determine a topic for research in terms of Cloud. A systematic map allows the categorization of study in a particular field using an exclusive scheme enabling the identification of gaps for further research. In addition, a systematic mapping study can provide insight into the level of the research that is being conducted in any area of interest. The results generated from such a study are presented using a map. The method utilized in this study involved analysis using three categories which are research, topic, and contribution facets. Topics were obtained from the primary studies, while the research type such as evaluation and the contribution type such as tool were utilized in the analysis. The objective of this paper was to achieve a systematic mapping study of the Cloud large-scale foundation. This provided an insight into the frequency of work which has been carried out in this area of study. The results indicated that the highest publications were on IoT as it relates to model with 12.26%;there were more publications on data analytics as is relates to metric with 2.83%, more articles on big data in terms of tool, with 11.32%, method with 9.43% and more research carried out on data management in terms of process with 6.6%. This outcome will be valuable to the Cloud research community, service providers, and users alike.

关键词： Big data Cloud computing Internet of Things Real-time analytics Systematic mapping

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Analysis and Research on Modern Education Technology Under "Internet+" and Big data Technology Environment

Analysis and Research on Modern Education Technology Under "...

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international conference on Machine Learning and Big data analytics for IoT Security and Privacy, SPIoT 2020

作者： Qiu, Xiaofang Sichuan Vocational and Technical College SuiningSichuan629000 China

ISBN: (纸本)9783030627423

The research purpose of this article is based on the discussion and research of modern educational technology under the background of "Internet+" and big data environment. The research method used in this article is to first adopt the establishment of a mathematical model of precision education based on the era of big data to formulate accurate modern education programs and multi-stage dynamic precision education programs. Secondly, under the blessing of the "Internet+" era, after the background and data collection, the data is processed and the indicators are extracted, and a mathematical model for precision education is finally formulated. Finally, a questionnaire survey was used to conduct a sample survey on the H school, and the effective data obtained in the final survey was counted and combined with the previous two methods to analyze the analysis of "Internet+" and big data technology on modern educational technology. Experimental research results show that the emergence of Internet+ and big data greatly facilitates the development of educational work. Then on this basis, it is necessary for all parties to explore suitable modern education methods according to the characteristics of cloud Internet+ and big data, in order to improve teaching ability and cultivate excellent young talents. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Big data

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Controlling Emergency Vehicles During Road Congestion-A Survey and Solution 2nd

Controlling Emergency Vehicles During Road Congestion-A Surv...

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2nd international conference on Computational Intelligence in Pattern Recognition (CIPR)

作者： Ghosal, Sandipan Chatterjee, Tanusree Techno Int Kolkata W Bengal India

ISBN: (纸本)9789811524493;9789811524486

A substantial amount of time is wasted away during traffic which occurs due to the unsteadiness of traveling circumstances. Traffic congestion is both recurring and non-recurring. Recurring occurs on a daily basis owing to the lack of road capacity as more vehicles are communicating at a certain time than what the road can accommodate at that instance of time. Non-recurring congestion arises due to transitory interference in travel and obstacles such as terrible weather, double parking, vehicle collision, or accidents. Big data analytics and IoT can jointly be used to regulate the traffic in a transport management system. Information may be gathered in real time using cameras, sensors, various wearable gadgets, and smart devices under IoT devices. Sensors linked to traffic signal junction keep transferring information to a central server. The behavior of traffic over time can be illustrated by drawing an analysis of the heavy congestion periods. data analysis models are assisted cities to operate effortlessly in terms of traffic management. An endeavor has been taken to propose amethod that helps traffic congestion under the smart city. Here, we propose to use the concept of IoT that suggests a sensor node and camera be fitted on every junction of the road to capture real-time traffic data. In this regard, the concept of the central server may also be used for storing traffic data and forwarding the status and the best feasible alternate route to high-priority vehicles to avoid real-time congestion on either event-driven or demand-based.

关键词： IoT Big data Emergency vehicle Traffic congestion Transport system

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False data Filtering in Underwater Wireless Sensor Networks

False Data Filtering in Underwater Wireless Sensor Networks

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international conference on Machine Learning and Big data analytics for IoT Security and Privacy, SPIoT 2020

作者： Liu, Na Huang, Haijie Huang, Xiangdang Yang, Qiuling School of Computer Science and Cyberspace Security Hainan University Haikou570228 China

ISBN: (纸本)9783030627454

Nowadays, people pay more and more attention to the safety of Marine Territory and the development and utilization of marine resources. Underwater wireless sensor networks (UWSNs) [1] technology has become one of the hot research topics in the contemporary era. Underwater sensor nodes have the characteristics of poor defense ability, limited energy and easy to be breached. Once underwater sensor nodes are compromised by adversaries, the adversaries can use the sensitive information saved by the node to send false data injection attacks on legitimate reports. To address such attacks, this paper proposes a false data filtering strategy based on the basis nodes to mitigate the threat of these attacks. The strategy proposed not only improves the efficiency of network filtering and prolongs the network lifetime, but also reduces the energy consumption and resource waste. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Sensor nodes

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Draft Design of Li-Fi Based Acquisition Layer of dataLake Framework for IIoT and smart Factory 22nd

Draft Design of Li-Fi Based Acquisition Layer of DataLake Fr...

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11th international conference on intelligent Networking and Collaborative Systems (INCoS) / 22nd international conference on Network-Based Information Systems (NBiS)

作者： Cha, ByungRae Park, Sun Shin, Byeong-Chun Kim, JongWon GIST Sch Elect Engn & Comp Sci Gwangju South Korea Chonnam Natl Univ Coll Nat Sci Dept Math Gwangju South Korea

ISBN: (纸本)9783030290290;9783030290283

The next-generation digital revolution will have more changes in aspect of producers than consumers. In the traditional manufacturing environment, the starting point for the transition to smart factories is the collection, storage, and integration of data scattered across manufacturing environments. One of the solutions to solve clean environment problem of manufacturing industry is to apply Li-Fi to Acquisition Layer of dataLake framework. And we described draft design of data parsing stage of acquisition layer as pre-stage for TDA analysis in detail.

关键词： Digital storage

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