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

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international conference on Artificial Intelligence and data Engineering, AIDE 2019

International Conference on Artificial Intelligence and Data...

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international conference on Artificial Intelligence and data Engineering, AIDE 2019

ISBN: (纸本)9789811535130

The proceedings contain 110 papers. The special focus in this conference is on Artificial Intelligence and data Engineering. The topics include: IoT-Based Nursery Management System;Shortest Path Discovery for Area Coverage (SPDAC) Using Prediction-Based Clustering in WSN;smart Mirror Using Raspberry Pi for Intrusion Detection and Human Monitoring;A Home Security Camera System Based on Cloud and SNS;design, Calibration, and Experimental Study of Low-Cost Resistivity-Based Soil Moisture Sensor for Detecting Moisture at Different Depths of a Soil;an IoT-Based Predictive analytics for Estimation of Rainfall for Irrigation;smart Watering System Using MQTT Protocol in IoT;internet of Things (IoT) Enabling Technologies and Applications—A Study;evaluation of Standard Models of Content Placement in Cloud-Based Content Delivery Network;ioT-Based data Storage for Cloud computing Applications;character Recognition of Tulu Script Using Convolutional Neural Network;ioT-Based Heart Rate Monitoring System;Exploring the Performance of EEG Signal Classifiers for Alcoholism;type-2 Tetradecagonal Fuzzy Number;critical Path Problem Through Intuitionistic Triskaidecagonal Fuzzy Number Using Two Different Algorithms;genetic-Neuro-Fuzzy Controller for Indirect Vector-Controlled Induction Motor Drive;artificial Intelligence-Based Chatbot Framework with Authentication, Authorization, and Payment Features;disease Recognition in Sugarcane Crop Using Deep Learning;deep Learning-Based Car Damage Classification and Detection;sparse Reflectance Map-Based Fabric Characterization;a Generalized Model for Cardiovascular Disease Classification Using Machine Learning Techniques;a Risk Assessment Model for Patients Suffering from Coronary Heart Disease Using a Novel Feature Selection Algorithm and Learning Classifiers;Toward Artificial Social Intelligence: A Semi-supervised, Split Decoder Approach to EQ in a Conversational Agent;classification of Text Documents.

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intelligent Question Answering System of Medical Knowledge Map Based on Deep Learning

Intelligent Question Answering System of Medical Knowledge M...

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

作者： Xue, Yafei Department of Information Science and Technology Nanjing Normal University Zhongbei College NanjingJiangsu China

ISBN: (纸本)9783030627423

The combination of knowledge map and knowledge card enables users to not only read the text to obtain detailed explanation, but also perceive the relevance between knowledge ontology through visual graphics. The text and graphics complement each other and cooperate properly. This intelligent question answering system is to sort out the disordered user corpus information scientifically and orderly, process and extract the natural language keyword information through CRF word segmentation technology, and obtain the final answer to the user based on the basic principle of knowledge map. As the auxiliary recommendation information of drug use, knowledge map and attribute list are presented at the same time. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Learning algorithms

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Blockchain based Access Control and data Sharing Systems for smart Devices

Blockchain based Access Control and Data Sharing Systems for...

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2020 international E- conference on data analytics, intelligent Systems and Information Security, ICDIIS 2020

作者： Chinnasamy, P. Vinodhini, B. Praveena, V. Vinothini, C. Ben Sujitha, B. Department of Information Technology Sri Shakthi Institute of Engineering and Technology Coimbatore India Department of CSE SNS College of Technology Coimbatore India Department of CSE Dr.N.G.P Institute of Technology Coimbatore India Department of Information Technology Jeppiar Institute of Technology Chennai India

Internet-of-Things and Blockchain technology are evolving all around today's modern world to solve many problems such as security, communications, data collection and analysis, etc. However, we also have some issues, such as efficient data sharing, restriction of access, reliable authentication, etc. The proposed framework is designed to solve the problems related to security and authorization in IoT network access control. In addition, the system's aim is to accomplish security, authorizing, and encryption for information exchange through IoT networks. In this article, a novel system is introducing to provide the data sharing system that integrates blockchain based access control system for IoT devices. Here, we are creating three different smart contracts to offers an efficient access control management like contract to provide access control, contract to provide authentication, and contract to provide a judgment. Finally, the effectiveness of the proposed approach is measured against the cost consumption of smart contracts and cryptographic functions. The cost utilization comparison is carried out against certain current approaches as well as the findings clearly demonstrate that the proposed approach is cost-effective. © Published under licence by IOP Publishing Ltd.

关键词： Blockchain

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Predictive analytics for retail store chain 3rd

Predictive analytics for retail store chain

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3rd international conference on Innovative computing and Communication, ICICC 2020

作者： Makkar, Sandhya Sethi, Arushi Jain, Shreya Lal Bahadur Shastri Institute of Management New Delhi India

ISBN: (纸本)9789811551475

Purpose-Forecasting techniques are used in the real-world system for better decision making. The main purpose of this research paper is to explore the techniques used by retail store chains for variety of products at various store locations by working on a Retail Chain’s dataset. Methodology- A Public data set of a retail store chain has been taken which has various details regarding the weekly sales. With the help of python, the data is handled, analyzed and model is created and tested. And further used to forecast the future. Finding- Understanding the various techniques used for forecasting multiple products at multiple places and selecting the best technique based on accuracy. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021.

关键词： Retail stores

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A Ciphertext Search Scheme with Traceable Results Based on Blockchain

A Ciphertext Search Scheme with Traceable Results Based on B...

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international conference on Multi-modal Information analytics, MMIA 2021

作者： Su, Long Yu, Ruihua Ye, Jun School of Computer Science and Cyberspace Security Hainan University Haikou China School of Information and Communication Engineering Hainan University Haikou China

ISBN: (纸本)9783030748104

With the explosive growth of data, more and more people choose to store data in the cloud. However, cloud data generally has a problem of data leakage, and the privacy of cloud data has become one of the main problems that plague people. The most leaked stage of privacy is the retrieval stage. The most commonly used solution is ciphertext retrieval, but in the process of ciphertext retrieval, the server, the data uploader, and the data user often cheat each other. Therefore, while ensuring data privacy, we must also eliminate mutual deception among the three. This paper proposes a ciphertext retrieval scheme based on blockchain. Verify the consistency of data during data transmission through a third-party trusted organization to eliminate mutual deception among the three. The blockchain enables the entities involved to reach a unanimous security consensus through smart contracts, thereby achieving fairness and security. Through the analysis of the performance of this scheme, it is proved that it is feasible to eliminate the deception of the three in the process of ciphertext retrieval. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： smart contract

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Analysis of the Impact of Artificial Intelligence Technology on the Financial Industry

Analysis of the Impact of Artificial Intelligence Technology...

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international conference on Cyber Security Intelligence and analytics, CSIA 2021

作者： Fan, Fangfang Wu, Qiong Department of Economics Wuhan Donghu University Wuhan Hubei China

ISBN: (纸本)9783030700416

With the rapid development of the fourth-generation technological revolution, the continuous emergence of new technologies has had a huge impact on the market, industry and individuals. The emerging technologies emerging in the fourth-generation technological revolution are mainly artificial intelligence technology, big data technology and block chain technology. The correlation between industries is getting closer and closer, which has had a significant impact on traditional industries. The application of artificial intelligence technology in financial fields such as insurance, credit investigation, asset allocation, big data risk control, etc., has caused brand-new changes in the financial industry. This article will do a simple analysis of artificial intelligence technology, summarize the current situation and development of artificial intelligence applications in the financial field, and then briefly discuss the complexity of artificial intelligence technology applications and the shortcomings of artificial intelligence technology applications, and finally propose artificial intelligence Suggestions for improvements in the application of smart technology in financial industry measures. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Big data

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Embpred30: Assessing 30-days readmission for diabetic patients using categorical embeddings 3rd

Embpred30: Assessing 30-days readmission for diabetic patien...

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3rd international conference on smart Innovations in Communications and Computational Sciences, ICSICCS 2020

作者： Sarthak Shukla, Shikhar Prakash Tripathi, Surya Analytics Quotient Bangalore India Samsung R&D Institute India-Bangalore Bangalore India Institute of Engineering and Technology Lucknow India

ISBN: (纸本)9789811553448

Hospital readmission is a crucial healthcare quality measure that helps in determining the level of quality of care that a hospital offers to a patient and has proven to be immensely expensive. It is estimated that more than $25 billion are spent yearly due to readmission of diabetic patients in the USA. This paper benchmarks existing models and proposes a new embedding-based state-of-the-art deep neural network(DNN). The model can identify whether a hospitalized diabetic patient will be readmitted within 30 days or not with an accuracy of 95.2% and Area Under the Receiver Operating Characteristics (AUROC) of 97.4% on data collected from 130 US hospitals between 1999 and 2008. The results are encouraging with patients having changes in medication while admitted having a high chance of getting readmitted. Identifying prospective patients for readmission could help the hospital systems in improving their inpatient care, thereby saving them from unnecessary expenditures. © Springer Nature Singapore Pte Ltd 2021.

关键词： Health care

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An Ultra Low Power, Configurable intelligent Biasing Calibration for Medical Sensor Applications in 130 nm CMOS Technology

An Ultra Low Power, Configurable Intelligent Biasing Calibra...

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IEEE international conference on Big data and smart computing (BigComp)

作者： Ali, Imran Yingge, Huo Asif, Muhammad Lee, Kang-Yoon Sungkyunkwan Univ Dept Elect & Comp Engn Suwon South Korea

ISBN: (纸本)9781728160344

In this paper, a configurable intelligent biasing calibration methodology is presented for medical sensor applications. The proposed biasing calibration algorithm is applicable for single as well as an array of nanopore sensors in a medical device. This technique compensates the variation among different nanopore sensors by calibrating the gate biasing voltages and improves accuracy and enhances reliability. It also identifies the faulty nanopore sensors. The presented biasing calibration controller is fully synthesizable and it needs only 1.184 K gates for its implementation. It draws only 76.3 nA current from 1.2 V supply its power consumption is only 91.56 nW. The proposed intelligent biasing calibration controller is integrated into a medical sensing system and it is implemented in a 130 nm CMOS process.

关键词： Nanopore calibration digital controller CMOS analog front end

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Infrastructure Model of intelligent Pasture

Infrastructure Model of Intelligent Pasture

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2021 international conference Automatics and Informatics, ICAI 2021

作者： Valchev, Evgeni Todorov, Jordan Stoyanov, Ivan Monov, Vladimir Dimitrov, Borislav Doukovska, Lyubka Plovdiv University 'Paisii Hilendarski' Faculty of Mathematics and Informatics Plovdiv Bulgaria Institute of Information and Communication Technologies Bulgarian Academy of Sciences Intelligent System Department Sofia Bulgaria Institute of Information and Communication Technologies Bulgarian Academy of Sciences Modeling and Optimization Department Sofia Bulgaria Consortium of New Generation Software Solution Ltd. and SmartPrint Ltd. Sofia Bulgaria

ISBN: (纸本)9781665426619

The paper presents a model of intelligent pasture incorporating three main components: one static sensor network with group of sensors located on the pasture, one dynamic sensor network with sensors indicating the movement of the herd and a communication environment necessary for data transmission and management. Communications in the model are wireless using the networking architecture LoRaWan to transmit data from the battery operated sensors. All data are stored and processed in a regional data center 'intelligent Agriculture' with possibilities for connection with cloud structures. intelligent tools such as machine learning and pattern recognition will be used to determine condition and quality of the pasture as well as the health of animals. © 2021 IEEE.

关键词： Information management

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data Distributed Storage Scheme in Internet of Things Based on Blockchain

Data Distributed Storage Scheme in Internet of Things Based ...

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

作者： Zhang, Yin Ye, Jun School of Computer Science and Cyberspace Security Hainan University Haikou China

ISBN: (纸本)9783030627423

With the explosive growth of Internet of Things data, the storage of large amounts of data has become a problem that plagues people. These IoT devices generally do not have powerful computing and storage capabilities. Most of them assume the role of data collection and information transfer, which also brings challenges to data storage. And a large proportion of the large amount of data is the user’s privacy data, so under the premise of storing a large amount of data, we must also ensure the security of the data. In view of the above problems, this article proposes an effective IoT data storage model based on secret sharing, which effectively guarantees the security of IoT data, and proposes a secure distributed storage of IoT data based on blockchain. This solution has the advantages of a complete blockchain. Under the supervision of the edge computing nodes of the entire network, it can ensure that each transaction data is not tampered with, and it can also obtain complete original data. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Internet of things

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