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共 3239 条记录，以下是311-320 订阅

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4th international conference on data Management, analytics and Innovation, ICDMAI 2020

4th International Conference on Data Management, Analytics a...

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4th international conference on data Management, analytics and Innovation, ICDMAI 2020

ISBN: (纸本)9789811556159

The proceedings contain 33 papers. The special focus in this conference is on data Management, analytics and Innovation. The topics include: A Novel Framework for data Acquisition and Retrieval Using Hierarchical Schema Over Structured Big data;Predicting the Cricket Match Outcome Using ANFIS Classifier for Viewers Opinions on Twitter data;Extraction of Tabular data from PDF to CSV Files;railway Complaint Tweets Identification;identification of Entities in Scientific Documents;a Machine Learning Model for Review Rating Inconsistency in E-commerce Websites;NLIDB Systems for Enterprise databases: A Metadata Based Approach;a data Science Approach to Analysis of Tweets Based on Cyclone Fani;A GPU Unified Platform to Secure Big data Transportation Using an Error-Prone Elliptic Curve Cryptography;an IoT-Based smart Parking Framework for smart Cities;an Empirical Analysis of Classifiers Using Ensemble Techniques;force of Gravity Oriented Classification Technique in Machine Learning;machine Learning Classifiers for Android Malware Detection;Designing a Model to Handle Imbalance data Classification Using SMOTE and Optimized Classifier;an Analysis of Computational Complexity and Accuracy of Two Supervised Machine Learning Algorithms—K-Nearest Neighbor and Support Vector Machine;a Survey on Application of Machine Learning Algorithms in Cancer Prediction and Prognosis;augmented Reality Building Surveillance System;interpretation and Segmentation of Chart Images Using h-Means Image Clustering Algorithm;innovative Techniques for Student Engagement in Cybersecurity Education;a Feasibility Study of Service Level Agreement Compliance for Start-Ups in Cloud computing;open-Source Software Challenges and Opportunities;smart Waste Monitoring Using Internet of Things;security Issue in Internet of Things.

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ADVANCED data PROCESSING METHODS IN AN intelligent HEALTH GATEWAY 16

ADVANCED DATA PROCESSING METHODS IN AN INTELLIGENT HEALTH GA...

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16th international conference on Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2022, 8th international conference on Connected smart Cities, CSC 2022, 7th international conference on Big data analytics, data Mining and Computational Intelligence, BigDaCI 2022, and 11th international conference on Theory and Practice in Modern computing, TPMC 2022 - Held at the 16th Multi conference on Computer Science and Information Systems, MCCSIS 2022

作者： Lysmos, Mezui Eya'a Guy Hanoune, Mostafa Dept. of Computer Science University Hassan II of Casablanca Faculty of the Sciences Ben M'Sik Av Driss El Harti B.P 7955 Sidi Othmane Casablanca Morocco

ISBN: (纸本)9789898704429

In this article, we introduce advanced data processing methods in an intelligent gateway. These methods are techniques for optimizing, in a first stage, the storage space of the data of the system coming from the sensors in real time and, in a second stage, the bandwidth of the network for the transfer of the data from the local to the cloud or the remote server. Among these methods, we have first, centralized data processing that uses cyclical supervision at each detected data stream. This supervision is carried out thanks to a controller agent, which filters and segments the data according to their nature, their size and their sensitivity over regular time intervals. Second, random data processing, which consists of randomly processing the data sent by the sensors when the behavior of the compression node is stable. Third, dynamic targeted data processing that allows you to dynamically choose which node to query. During this approach, we used global variables to determine the limits of the volumes of data stored during a given period, to control the stopping and the resuming of data transfer. Finally, a comparative study of these methods has been highlighted to highlight the performance and efficiency of each. © MCCSIS *** rights reserved.

关键词： Internet of things

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intelligent Diagnosis of Middle and Low Voltage Distribution Network Fault Based on Big data

Intelligent Diagnosis of Middle and Low Voltage Distribution...

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international conference on Cyber Security Intelligence and analytics (CSIA)

作者： Hua, Jing Zhou, Yan-Ping Xiong, Wei Niu, Lin Zhao, Xu Honghe Univ Mengzi 661100 Yunnan Peoples R China Yunnan Power Gird Co Ltd Kunming Power Supply Co Kunming 650011 Yunnan Peoples R China

ISBN: (纸本)9783030152352;9783030152345

At present, the fault diagnosis information of the middle and low voltage distribution network is insufficient and scattered, and the fault diagnosis and positioning of the low and low pressure synthesis is urgently needed for the comprehensive utilization of power distribution automation, metering automation and 95598 customer service report. This paper carried out based on the large data of low voltage intelligent fault diagnosis and positioning analysis, further enhance the fault of the distribution and grab the dispatcher commander and people with disabilities positioning analysis efficiency, improve the level of fault disposal of the lean management.

关键词： Big data Middle and low voltage distribution network intelligent diagnosis

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Impact of NOx emissions on climate and monitoring using smart sensor technology

Impact of NOx emissions on climate and monitoring using smar...

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2017 international conference on Energy, Communication, data analytics and Soft computing, ICECDS 2017

作者： Sujatha, K. Ponmagal, R.S. Nallamilli, P.G. Bhavani Kalpalatha, T. EEE/CSE Dept. Center for Electronics Automation and Industrial Research Dr. MGR Educational and Research Institute Maduravoyal Chennai-95 India EEE Dept. Center for Electronics Automation and Industrial Research Dr. MGR Educational and Research Institute Maduravoyal Chennai-95 India ECE Dept. SKR Engineering College Nazrathpeth Chennai India

ISBN: (纸本)9781538618868

Human resource is of great assert, as it is the gift of nature. Exploitation of human resources should strictly be monitored on health aspects. The power generation sectors in view to increase the combustion quality for enhancing the power production contribute to green house gases which is a threat to human health. The prime aspiration is in detection, recognition and understanding of combustion conditions in power plants ensuring low Nitrogen Oxide (NOx) emissions for protecting the human health from hazardous gases. The colour information from the furnace flame images is the foundation for this scheme. The process of estimating the NOx emissions using a feed forward controller is implemented using Back propagation Algorithm (BPA) and Ant Colony Optimization (ACO). The challenge lies in identification of the 10 attributes used for training the ANN so as to estimate the NOx emissions. The estimation by ANN is termed as intelligent sensors embedded in the computing system to monitor using (IoT). This method proves to be indispensable because this IoT based online monitoring has reduced the percentage of emissions by 19% thereby increasing the combustion quality which has profound effect on human health. © 2017 IEEE.

关键词： Internet of things

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Research on the Integration and Innovation of Cloud computing Technology and Enterprise Management by Internet Companies

Research on the Integration and Innovation of Cloud Computin...

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international conference on Cyber Security Intelligence and analytics (CSIA)

作者： Jia, Dian Qinghai Nationalities Univ Sch Business Adm Xining 810007 Qinghai Peoples R China

ISBN: (纸本)9783030152352;9783030152345

With the rapid development of science and technology, the use and dependence of computers in all walks of life is increasing. Human beings have entered the era of "Internet +". In order to better meet the challenges brought by the current social development, enterprise management must recognize the importance of cloud data extraction technology in management, so as to continuously innovate the management model. This paper expounds the concept of cloud data extraction technology, the application and innovation of cloud data extraction technology by human resources management, the challenges faced by human resources management of enterprises in the era of cloud data extraction technology and the strategies of human resources management reform.

关键词： Internet enterprise Human resource management Cloud data extraction technology Innovation

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Cloud analytics: An Outline of Tools and Practices 2nd

Cloud Analytics: An Outline of Tools and Practices

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2nd international conference on intelligent and Cloud computing, ICICC 2021

作者： Kaur, Gunseerat Tiwari, Tejashwa Kumar Tyagi, Apoorva Lovely Professional University Punjab India

ISBN: (纸本)9789811698729

This paper projects an overview of how cloud-based analytical tools can provide for varied purposes of data aggregation and analytics. analytics-as-a-service is a forthcoming facility, extensively provided through multiple vendors. The aim is to elucidate which tools can serve better in what sort of data sources. As cloud computing has garnered much-needed growth in terms of data generation, there is a huge opportunity to explore the generated data. IT firms invest in creating, managing, and lending storages to handle this volume;it also challenges analyzing the data relevantly and effectively. It has called for an intelligent analysis of data and its storage in a sustainable and regulated environment. While various methods are employed to mine this heap of data, the industry is looking for newer technologies that can increase the rate at which they can analyze the data. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Big data

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smart City issue management: Extending and adapting a software bug tracking system 20

Smart City issue management: Extending and adapting a softwa...

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20th IEEE international conference on High Performance computing and Communications (HPCC) / 16th IEEE international conference on smart City (smartCity) / 4th IEEE international conference on data Science and Systems (DSS)

作者： Tranoris, Christos Denazis, Spyros Univ Patras Elect & Comp Engn Dept Patras Greece

ISBN: (纸本)9781538666142

When our team at the university was asked by our city local administration to create a pilot service for managing issues reported by citizens, we thought what we do as programmers when we have issues in our software: we report bugs and daily manage them by providing timely solutions. In this report we describe how we extended and adapted Bugzilla, a famous Open Source software bug tracking system, to be used for managing issues reported by citizens or even sensors deployed in the city. Around Bugzilla we developed our service called Sense. City, together with a mobile application which can be used by any city to manage issues. Sense. City services are provided as open source, so cities can either integrate them with their own services or use for free our web cloud-hosted solution.

关键词： issue management smart City City analytics

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A Blockchain-based Model Sharing and Calculation Method for Urban Rail intelligent Driving Systems 23

A Blockchain-based Model Sharing and Calculation Method for ...

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23rd IEEE international conference on intelligent Transportation Systems (ITSC)

作者： Liang, Hao Zhang, Yong Xiong, Han Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing 100044 Peoples R China

ISBN: (纸本)9781728141497

In urban rail transit systems, the intelligent driving system is gradually replacing manual driving for its high safety, punctuality, and stopping accuracy. With the development of big data analytics, the data-driven intelligent driving system becomes a research focus. Traditional data-driven intelligent driving systems suffer from inadequate data. Due to lacking effective incentives and trust, data from different urban rail operators cannot be shared directly. In this paper, we propose a framework that uses blockchain technology to realize sharing and collaborative training of intelligent driving models between operators. In this framework, we use blockchain-based distributed federated reinforcement learning methods to complete intelligent driving calculations. We use smart contracts to implement the management of the entire federal reinforcement learning. Operators use local historical data to participate in intelligent driving training based on Q-network by exchanging encrypted model parameters, and optimize the safety distance, energy consumption, and punctuality of urban rail transit systems. Simulation results show that our proposed distributed federated reinforcement learning method can significantly improve the intelligent driving system performance.

关键词： Blockchain

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IoTPHM: Experimental Evaluation of Internet of Things Powered Patient Health Monitoring System using smart Sensors

IoTPHM: Experimental Evaluation of Internet of Things Powere...

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2024 international conference on Innovative computing, intelligent Communication and smart Electrical Systems, ICSES 2024

作者： Prince, P. Rajabhushanam, C. Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331543617

The Internet of Things Powered Patient Health Monitoring (IoTPHM) system represents a significant advancement in remote healthcare by integrating smart sensors, microcontrollers, and IoT technology. This system continuously monitors vital health parameters such as heart rate, blood oxygen saturation (SpO2), body temperature, blood pressure, respiratory rate, and physical activity. Utilizing an ESP32 microcontroller, the system efficiently collects, preprocesses, and transmits data to cloud servers or mobile applications using MQTT and Bluetooth protocols. Preprocessing techniques, such as noise filtering and data normalization, ensure accurate and reliable analysis. The system's sustainability is enhanced through a rechargeable battery with a solar charging option. Evaluation results demonstrate high sensor accuracy, low latency in data transmission, and robust user feedback for comfort and usability. The IoTPHM system supports edge computing for real-time alerts and cloud-based analytics for predictive insights, enabling proactive healthcare management. Its compact, wearable design ensures convenience for continuous monitoring, catering to both clinical and home environments. © 2024 IEEE.

关键词： Electronic health record

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Study of the Soybean Imitation Cheese Based on intelligent Systems and Big data analytics

Study of the Soybean Imitation Cheese Based on Intelligent S...

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international conference on Cyber Security Intelligence and analytics (CSIA)

作者： Zhang, Zhiguo Zeng, Qi Qilu Univ Technol Shandong Acad Sci Coll Food Sci & Engn Jinan 250353 Shandong Peoples R China

ISBN: (纸本)9783030152352;9783030152345

The imitation cheese is the product with the cheese characteristics which can meet the specific requirements by using the non-milk-derived protein and fat or the full substitution of the milk protein and the milk fat. This paper introduces the production principles, processes and key control points of the imitation cheese with the soybean as main raw material, summarizes the researches and development of the soybean imitation cheese in recent years, and forecasts the market prospect of the soybean imitation cheese in China.

关键词： Soybean imitation cheese Functional characteristics Key control points Prospects

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