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Blockchain-based data Security Management Mechanism for Power Terminals 16

Blockchain-based Data Security Management Mechanism for Powe...

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

作者： Huang, Zhicai Zhu, Huiqing Dongguan Power Supply Bureau of Guangdong Power Grid Co. Ltd Dongguan China

ISBN: (纸本)9781728131290

In order to solve the problem of data leakage and tampering in end-to-end power data security management, this paper proposes a Blockchain-based power terminal data security management model, which includes power terminals and Blockchain nodes. Among them, the power terminal is responsible for the collection of front-end substation data;the Blockchain node is responsible for data verification and data storage. Secondly, the data security management mechanism of power terminal based on Blockchain is proposed, including data aggregation, data encryption and transmission, signature verification for single Blockchain, aggregation signature for main Blockchain nodes, and intelligent contract storage. Finally, by applying the mechanism to the data storage process and data request process analysis, the data management mechanism proposed in this paper has a good application effect. © 2020 IEEE.

关键词： smart contract

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international Workshop on New Approaches for Multidimensional Signal Processing, NAMSP 2020

International Workshop on New Approaches for Multidimensiona...

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international Workshop on New Approaches for Multidimensional Signal Processing, NAMSP 2020

ISBN: (纸本)9789813346758

The proceedings contain 21 papers. The special focus in this conference is on New Approaches for Multidimensional Signal Processing. The topics include: MedSecureChain: Applying Blockchain for Delegated Access in Health Care;cosine and Soft Cosine Similarity-Based Anti-Phishing Model;enhanced Image Steganography Technique Using Cryptography for data Hiding;comparative Analysis of Various Recommendation Systems;finger Knuckle Print Feature Extraction Using Artificial Intelligence Algorithm;the Using of Deep Neural Networks and Acoustic Waves Modulated by Triangular Waveform for Extinguishing Fires;electronic Information Image Processing Technology Based on Convolutional Neural Network;research on Related Problems of intelligent Medical Logistics Distribution Based on Particle Swarm Optimization;study of Wool Image Recognition Based on Texture Features;video-Based Monitoring and analytics of Human Gait for Companion Robot;the Observation and Simulation of Dynamic Diffraction Patterns Caused by a Cylindrical Liquid Diffusion Pool for Diffusivity Measurement;Multidimensional Graphic Objects Filtration Using HoSVD Tensor Decomposition;Comparative Analysis of the Hierarchical 3D-SVD and Reduced Inverse Tensor Pyramid in Regard to Famous 3D Orthogonal Transforms;tracking of Domestic Animals in Thermal Videos by Tensor Decompositions;partial Contour Matching Based on Affine Curvature Scale Space Descriptors;vision-Based Line Tracking Control and Stability Analysis of Unicycle Mobile Robots;markerless 3D Virtual Glasses Try-On System;Copy–Move Forgery Detection by Using Key-Point-Based Harris Features and CLA Clustering;web-Based Virtual Reality for Planning and Simulation of Lifting Operations Performed by a Hydraulic Excavator.

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Robust UI Automation Using Deep Learning and Optical Character Recognition (OCR)

Robust UI Automation Using Deep Learning and Optical Charact...

引用

international conference on Recent Trends in Machine Learning, IOT, smart Cities and Applications, ICMISC 2020

作者： Singh, Mithilesh Kumar Fernandes, Warren Mark Rashid, Mohammad Saad Intelligent RPA SAP Labs Bangalore India STE SAP Labs Bangalore India PSCC SAP Labs Bangalore India

ISBN: (纸本)9789811572333

In the complete software development life cycle (SDLC), testing and maintenance stand slowest, and the reason being entire process is manual or manually maintained automation. Over time, companies have realized that it is very costly and time consuming. The biggest reason for manual maintenance of automation is its dependency on dynamic properties of the UI elements (xpath, class, ID) which directly depend on document object model (DOM). Cloud releases are very frequent, and changes in the UI properties are expected. In this paper, we are presenting a UI technology agnostic approach, which does not depend on the DOM and UI properties of the application rather behaves like a human and visually parses the screen. We use artificial intelligence to detect the UI elements, and even, just a mock-up of a screen can be parsed this way. This also enables test-driven development (TDD) of UI, among many other use cases. We used annotated UI image data for training our deep learning model, and the method has been validated with 94% accuracy on new UI elements. This approach does not require manual maintenance of the generated automates unless there is a functional change in the application. We propose UI technology agnostic, zero touch, self-healing UI automation. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Software testing

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Analysing Human Activity Patterns by Chest-Mounted Wearable Devices 2nd

Analysing Human Activity Patterns by Chest-Mounted Wearable ...

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2nd international conference on computing, Communications and data Engineering (CCODE)

作者： Shafi, Jana Waheed, Amtul Krishna, P. Venkata Sri Padmavati Mahila Visvavidyalayam Tirupati Andhra Pradesh India

ISBN: (纸本)9789811501357;9789811501340

Internet of things (IoT) which is the invasion in the present era led to the emergence of various wearable devices which are known as smart wearable to monitor or measure different health attributes based on the activities. Today, wearable technology is constantly expanding in the market as it is highly in demand from the year 2010. Since then around 400 wearable have been developed, and 60% of them are activity trackers. Now, activity recognition is a promising research field, originated from ubiquitous, context-aware computing as well as multimedia. In recent times, recognizing daily activities is also part of the challenges for pervasive computing. Wearable devices are equipped with various sensors such as humidity sensor, gyroscope, accelerometer, and biosensors, for self-monitoring of routine physical actions. In this paper with the help of Python language, we analysed wearable devices data set which are positioned on chest in terms of wearable single chest-mounted uncalibrated accelerometer data sets collected from fifteen candidates separately performing seven different activities such as Working at Computer, Standing Up, Walking and Going up/downstairs, Standing*, Walking, Going Up/Downstairs, Walking and Talking with Someone Talking while Standing. These activities pattern analyses are helpful in measuring numerous health outcomes.

关键词： smart chest wearable IOMT Wearable

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The application prospect of nb-lot in intelligent indoor ventilation system

The application prospect of nb-lot in intelligent indoor ven...

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

作者： Li, Xu Wang, Meng Chen, Tianming School of Computer Science and Information Security Guilin University of Electronic Technology Guilin Guangxi541004 China School of Mechanical and Electrical Engineering Guilin University of Electronic Technology Guilin Guangxi541004 China School of Mathematics and Computing Science Guilin University of Electronic Technology Guilin Guangxi541004 China

ISBN: (纸本)9781728166971

Narrow Band Internet of Things has the characteristics of wide coverage, strong penetration, low power consumption and low cost. Based on the technical characteristics of NB-loT, the use of this technology in indoor ventilation system can fundamentally enhance the control coordination and intelligence of the system, besides, it can also optimize air quality and reduce energy consumption. This paper analyzes and introduces an intelligent indoor ventilation system based on the new industry standard and an environmental parameter and intelligent control scheme based on NB-loT technology for remote acquisition of distributed temperature and air flow. Corresponding solutions have also been proposed for the problem of the air supply system, such as the value of the solution, its advantages and expectations for the future. © 2020 IEEE.

关键词： Energy utilization

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Radial basis function neural network and prediction of exchange rate

Radial basis function neural network and prediction of excha...

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

作者： Fang, Ming Chang, Chiu-Lan Fuzhou University of International Studies and Trade No. 28 Yuhuan Road Shouzhan New District Changle Fuzhou CityFujian China

ISBN: (纸本)9789811525674

This study aims to predict the exchange rat based on radial basis function neural network (RBFNN). Concerning the selected sample point, it only responds to the inputs of neighboring samples and hence has better approximation performance and overall optimization than other forwarding networks, in addition to being simple in structure and fast in training speed. RBFNN in empirical risk minimization methods has been studied, their adaptability to exchange rate prediction has been explored, and these methods have been verified by exchange rate data. The contributions are proposing an exchange rate prediction algorithm based on RBFNN and more accurately predicting short-term and long-term exchange rate variation trends. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Forecasting

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intelligent Early Warning Algorithm for Students’ Mentality Transformation in Psychological database

Intelligent Early Warning Algorithm for Students’ Mentality...

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international conference on Cyber Security Intelligence and analytics, CSIA 2020

作者： Huang, Hongxia Mental Health Teaching and Research Office Guangzhou Huali Science and Technology Vocational College GuangzhouGuangdong511300 China

ISBN: (纸本)9783030433086

When the traditional method is used to warn the students’ mentality transition data, the weight of the sample set is ignored, which leads to large warning errors. An intelligent early warning algorithm for student mentality transformation in psychological database is proposed. Obtain the sample set of the training sample of the student’s mentality transformation data data, obtain the weight of the initial sample set, construct a strong classifier to classify the data samples of the student’s mentality transition, and establish an early warning optimization algorithm for the student’s mental state transition data. The experimental simulation proves that the proposed method has high early warning efficiency and can provide strong support for ensuring students’ health psychology. © Springer Nature Switzerland AG 2020.

关键词： Students

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A Novel Economical Design of Multistage Decimators for Low Latency Audio Applications 22

A Novel Economical Design of Multistage Decimators for Low L...

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22nd IEEE international conference on High Performance computing and Communications, 18th IEEE international conference on smart City and 6th IEEE international conference on data Science and Systems, HPCC-smartCity-DSS 2020

作者： Hu, Wei Zheng, Chongwei Wang, Yonghao Liu, Jing Chen, Cen Zeng, Zeng Wuhan University of Science and Technology College of Computer Science and Technology China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan China Birmingham City University Digital Media Technology Lab Birmingham United Kingdom Institute for Infocomm Research Singapore

ISBN: (纸本)9781728176499

The oversampling sigma-delta analog-To-digital converter (ADC) is widely used in digital audio systems for its low hardware cost and high precision. The digital filter part of the ADC is the primary source of the silicon and power cost. In this work, we proposed an economical multistage decimation filter architecture to meet the requirements of commercial ADC specifications with a further novel multi-objective optimization strategy. We took group delay and computational cost as objective functions and used annealing algorithm to readjust the stopband attenuation, stopband edge and passband ripple of each filter. Our multistage architecture combines cascaded integrator-comb (CIC) filters, compensating filters and equiripple finite impulse response (FIR) filters at the different stages to balance the overall performance. The experimental results showed that our design approach worked with multi-objective optimization strategy could achieve low group delay with lower cost compared to traditional designs. © 2020 IEEE.

关键词： Group delay

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Current Trends And Practices In smart Health Monitoring And Clinical Decision Support

Current Trends And Practices In Smart Health Monitoring And ...

引用

IEEE international conference on Bioinformatics and Biomedicine (IEEE BIBM)

作者： Comito, Carmela Falcone, Deborah Forestiero, Agostino CNR ICAR Arcavacata Di Rende CS Italy

ISBN: (纸本)9781728162157

smart Health indicates the use of new technologies in the healthcare sector. Literally it means "intelligent health", and the intelligence referred to is digital, guaranteed by innovative tools such as Internet of Things (IoT) devices, communication technologies, cloud computing, artificial intelligence (AI) and big data. Thanks to sensors and devices connected to patients, such as technologically advanced bracelets and watches, it is possible to collect data on the state of health of people and treat them, even remotely, anticipating critical situations before they occur. The use of IoT to support healthcare leads to suitable recommendations and set the best policies for improving the quality of patients life, assisting practitioners and healthcare providers in decision making, collecting and exchanging information, helping to prevent events, such as a heart attack or an illness. This is possible thanks to the use of AI, which process immense amounts of data to anticipate future events. In recent years, AI based on deep learning has sparked tremendous global interest and is impacting also in healthcare. Deep learning has been widely adopted in image recognition, speech recognition and natural language processing. It could be the vehicle for translating big biomedical data into improved human health. The paper presents a literature review conducted to determine the most important technologies, methodologies, algorithms and models for smart health systems. In addition, the main application areas and challenges of smart health were explored.

关键词： IoT Deep learning smart Health Clinical Decision Support and Monitoring

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Analyzing Significant Reduction in Traffic by Using Restricted smart Parking 1

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2nd international conference on computing, Communications and data Engineering (CCODE)

作者： Waheed, Amtul Shafi, Jana Krishna, P. Venkata Sri Padmavati Manila Visvavidyalayam Tirupati Andhra Pradesh India

ISBN: (数字)9789811501357

ISBN: (纸本)9789811501357;9789811501340

With the growth of population specifically in market areas and industrial areas, the traffic-related consequences such as congested roads, finding vacant parking space, traffic congestion at major traffic points in the town, etc. are also increasing particularly at office hours, business hours, and peak hours. Drivers of the vehicle just keep on circling in parking lot to find the vacant parking space. Due to this, people are facing a lot of problems like delay in traveling time, getting frustrated as well as health hazard caused due to vehicular fuel pollution. To overcome this problem, many parking management systems have been introduced which helps in providing information about exact real-time car parking space availability to drivers. In this paper, we are considering real-time smart parking system for collecting data of smart parking lot occupancy and parking restrictions on each lot from field sensor devices and then forwarded to servers for processing as well as usage for application which are on Google Play store and iOS users from App store. The main objective of this analysis is to help end users such as citizens and parking manager to ease traffic congestion and reduces time by using real-time bay sensor data and application to show driver exact location in parking lot. The focus of this paper is to analyze statistics of maximum stay of each car in parking lot, influencing traffic in parking restriction lot depending on the weekdays.

关键词： IoT smart parking smart traffic management

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