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检索条件"任意字段=International Conference on Intelligent and Smart Computing in Data Analytics, ISCDA 2020"

共 3255 条记录，以下是1771-1780 订阅

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Efficient Image Watercolorization Based on smart Phones

Efficient Image Watercolorization Based on Smart Phones

引用

2020 international conference on High Performance Big data and intelligent Systems, HPBD and IS 2020

作者： Zhang, Huijuan Xiao, Xuezhong School of Computer Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781728165110

Image watercolorization is a hot research topic in the field of non-photorealistic rendering. There are many methods proposed to simulate the various features of watercolor painting including edge darkening, pigment dispersion, turbulence, and paper texture. However, almost all of them are implemented for desktop systems and cannot be directly transplanted to mobile devices. From the view of resultant effects and computing efficiency, an image watercolorization framework is proposed for smart phones, which employs several existing image processing algorithms to simulate the visual features of watercolor painting. Finally, the method is optimized in parallel to improve the efficiency. The experiments show the presented method has good performance. © 2020 IEEE.

关键词： Efficiency

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An intelligent Dimming Algorithm of Streetlight Based on Fuzzy Neural Network 16

An Intelligent Dimming Algorithm of Streetlight Based on Fuz...

引用

16th IEEE international Wireless Communications and Mobile computing conference, IWCMC 2020

作者： Xue, Yunpeng Zhang, Yan Shuxue, Peng School of Electronics Information Engineering Beihang University Beijing100191 China

ISBN: (纸本)9781728131290

In recent years, the IoT(Internet of things) industry has developed rapidly. As an important part of the IoT, smart streetlights have been widely used in cities around the world. More and more smart streetlights are being deployed with NB-IoT(Narrow Band Internet of Things) or Lora, which bring great convenience to streetlights management. The existing system is limited to reporting sensor data and error information of streetlight, but still adopts the traditional methods in brightness control, such as all- brightness or half-brightness in midnight, which has some shortcomings such as insufficient data utilization and less intelligent dimming algorithm, resulting in the street lamp failing to achieve the expected energy-saving effect. In this paper, an intelligent dimming algorithm of streetlight based on fuzzy neural network is designed. Combining advantages of fuzzy control and neural network, the algorithm can analyze the road information uploaded by the sensing layer and output the dimming signal. The simulation results show that, compared with the traditional method, the algorithm is more energy efficient and more consistent with human eye habits. © 2020 IEEE.

关键词： Fuzzy neural networks

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The Privacy Preserving Framework with Virtual Ring and Identity-Based Cryptography for smart Grid 17th

The Privacy Preserving Framework with Virtual Ring and Ident...

引用

17th international conference on Information Technology: New Generations, ITNG 2020

作者： Chen, Yu-Wen Sutanto, Leonard New York City College of Technology BrooklynNY United States

ISBN: (纸本)9783030430191

One of the main challenges in the smart grid is how to efficiently manage the high volume data from smart meters and sensors and preserve the privacy from the consumption data to avoid potential attacks (e.g., identity theft) for the involved prosumers, retail electricity providers and other clusters of distributed energy resources. This paper proposes a two-layer framework with the cloud computing infrastructure. The virtual ring and identity-based cryptography are utilized in each layer to preserve privacy efficiently. The methods of the virtual ring and identity-based cryptography are introduced. The purposes and needs are discussed at the end of this paper. © Springer Nature Switzerland AG 2020.

关键词： smart power grids

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Easy-to-Deploy Living Activity Sensing System and data Collection in General Homes 18

Easy-to-Deploy Living Activity Sensing System and Data Colle...

引用

IEEE international conference on Pervasive computing and Communications (PerCom)

作者： Matsui, Tomokazu Onishi, Kosei Misaki, Shinya Fujimoto, Manato Suwa, Hirohiko Yasumoto, Keiichi Nara Inst Sci & Technol Ikoma Nara 6300192 Japan RIKEN Ctr Adv Intelligence Project Chuo Ku Tokyo 1030027 Japan

ISBN: (纸本)9781728147161

Emergence of smart appliances and high performance IoT devices is promoting studies on more functional and intelligent home services using these devices. Especially, in developed countries including Japan with aging population and declining birthrate, it is urgent to develop technologies to monitor living situations of residents including elderly persons and improve their quality of life (QoL) through home services based on the activity recognition technology. However, activity recognition systems in general require many types/number of sensors and hence they are difficult to deploy and operate. In this paper, we propose a system consisting of low-cost and easy-to-deploy sensors based on energy harvesting that can collect data of resident's activities of daily living (ADL) for months without maintenance. The system was deployed in 10 homes of senior citizens where we collected ADL data for two months each. We also estimated the ADLs from the collected data by using long short-term memory (LSTM), a deep learning model. As a result, ADLs could be estimated at high recall rate of 82.4% on average and hence we found that the proposed system has high applicability to actual services.

关键词： daily activity recognition IoT machine learning LSTM simple installation sensing system

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Information Reconstruction of Accounting Robot Based on Block Chain

Information Reconstruction of Accounting Robot Based on Bloc...

引用

international conference on Cyber Security Intelligence and analytics, CSIA 2020

作者： Li, Dongdong Accounting College Wuhan Textile University Wuhan430070 China

ISBN: (纸本)9783030433086

Block chain technology provides the foundation for the reshaping of accounting information systems. The key features of block chain decentralization, de-trust, co-governance, tamper resistance, traceability and open transparency will be Make accounting information system change fundamentally in terms of bookkeeping mode, information structure and reporting mode. Depending on the purchase and sales and production business scenarios, the unique information architecture and smart contract mechanism of the block chain can be used to implement the potential of process reengineering of accounting informationization. The reform of the accounting information system under the block chain framework will eventually lead to the development of new accounting formats such as the integration of "industrial financial auditing", integration of labor and artificial intelligence, precise control of public and private information, and real-time customization of personalized reports. © Springer Nature Switzerland AG 2020.

关键词： smart contract

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New Architecture Design of Cloud computing Using Software Defined Networking and Network Function Virtualization Technology 4th

New Architecture Design of Cloud Computing Using Software De...

引用

4th international conference of Reliable Information and Communication Technology (IRICT)

作者： Bahashwan, Abdullah Ahmed Anbar, Mohammed Abdullah, Nibras Univ Sains Malaysia USM Natl Adv IPv6 Ctr Nav6 Gelugor 11800 Penang Malaysia

ISBN: (纸本)9783030335823;9783030335816

Cloud computing is a new technology model that consists of a pool of configurable resource and multiple data centers in distributed areas. It offers a service over the internet for users using virtual data, and who share resources for storing and accessing data from anywhere. Cloud computing supports big-scale platforms that consist of thousands of servers and hundreds of switches. Currently, the cloud is suffering from many issues in term of management, security and other essential aspects. This paper discusses integrating Software Defined Networking (SDN), with Network Function Virtualization (NFV) based on cloud computing, to eliminate some of the existing security issues faced by cloud computing. This research paper proposes a new architecture design by taking advantage of the NFV technology to build a virtual security mechanism such as Network Intrusion Detection System (NIDS).

关键词： Software-defined networking (SDN) Network Function Virtualization (NFV) Based in Cloud computing

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Effective information extraction algorithm of dynamic logistics big data based on SVM

Effective information extraction algorithm of dynamic logist...

引用

1st international conference on Big data analytics for Cyber-Physical System in smart City, BDCPS 2019

作者： Fan, Bixia Rao, Xin Hubei Business College Wuhan430079 China

ISBN: (纸本)9789811525674

With the advent of the era of big data, data plays a more and more important role. At the same time, the massive data also contains a variety of invalid information. The existing data information extraction methods do not perform well in dealing with this kind of data, which makes the results deviate greatly. To solve these problems, this paper proposes an efficient information extraction algorithm based on SVM for dynamic logistics big data. First of all, considering the unstructured characteristics of logistics dynamic big data, preprocessing data, including cleaning data, data specification and transformation, as well as data dimensionality reduction, to facilitate subsequent operations. Then, the approximate support vector regression function is used to mine the information features effectively. Through the simulation experiment, the results show that the accuracy of the proposed algorithm is about 82.3%, which is significantly higher than the other two algorithms. This shows that the method proposed in this paper has obvious effect on the effective information extraction of logistics big data. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Support vector machines

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Floating Car data Map-Matching Utilizing the Dijkstra's Algorithm 3rd

Floating Car Data Map-Matching Utilizing the Dijkstra's Algo...

引用

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

作者： Ptosek, Vit Rapant, Lukas Martinovic, Jan VSB Tech Univ Ostrava IT4Innovations 17 Listopadu 15-2172 Ostrava 70833 Czech Republic

ISBN: (纸本)9789811393648;9789811393631

Floating car data (FCD) are one of the most important sources of traffic data. However, their processing requires several steps that may seem trivial but have far-reaching consequences. One such step is map-matching, i.e. assignment of the FCD measurement to the correct road segment. While it can be done very simply by assigning the point of measurement to the closest road, this approach may produce a highly undesirable level of error. The second challenge connected with processing of FCD measurements is missing measurements. They are usually caused by the shortcomings of GPS technology (e.g. the satellites can be obscured by buildings or bridges) and may deny us many measurements during longer downtimes. The last problem we will solve is the assignment of measurements to very short segments. FCD measurements are taken in periodic steps for several seconds long. However, some road segments are very short and can be passed by a car in the shorter interval. Such segments are therefore very difficult to monitor. We plan to solve all these problems through a combination of geometric map-matching with the Dijkstra's shortest path algorithm.

关键词： Floating car data Map-matching Traffic routing Dijkstra algorithm

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Methods for implementing the concept of "smart City" based on Bayesian intelligent Technologies 23

Methods for implementing the concept of "Smart City" based o...

引用

23rd international conference on Soft computing and Measurement, SCM 2020

作者： Prokopchina, S.V. Department of System Analysis in Economics Financial University under the Government of the Russian Federation 49 Leningradsky Prospekt Moscow125993 Russia

Information systems based on Bayesian intelligent technologies make it possible to implement monitoring, control and management tools within the framework of the "smart City" concept. Such tasks are connected, on the one hand, with the processing of large arrays of various types of information, on the other hand, with difficult conditions for solving problems due to uncertainty. This article discusses the methodological aspects of the application of the regularizing Bayesian approach and Bayesian technologies focused on uncertainty and information processing both in the form of data and in the form of various knowledge. It is shown that such systems can be implemented in the form of intelligent cognitive networks with the processing of different types of measurement, statistical, reporting information, integrated with the assessments and decisions of experts and specialists. Examples of using the proposed approach and technologies for solving applied problems of digitalization of urban economy are given. © 2020 Institute of Physics Publishing. All rights reserved.

关键词： smart city

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Dynamic vulnerability detection approaches and tools: State of the Art 4

Dynamic vulnerability detection approaches and tools: State ...

引用

4th international conference on intelligent computing in data Sciences (ICDS)

作者： Zaazaa, Oualid El Bakkali, Hanan Mohammed V Univ Rabat IT Ctr ENSIAS Smart Syst Lab Rabat Morocco

ISBN: (纸本)9781728180847

Vulnerabilities are everywhere around us. Every device we use in our daily life include a software that may contain vulnerabilities. The growth use of software and devices to automate some of our daily life actions is making these programs more complex and more connected to the internet, which increase the risk of cyber-attacks. To reduce this risk, multiple programming companies are trying to use different approaches to find these vulnerabilities. Some are using static approaches during the software development life cycle while others are using dynamic analysis approaches to find vulnerabilities once the application is correctly working. Unfortunately, both approaches still suffer from multiple limitation and still need improvement. In this paper, we are discussing some of the most recent dynamic approaches and the efficient of the tools that use them.

关键词： Vulnerability detection Dynamic analysis artificial intelligence Symbolic execution

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