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data science for E-Healthcare, Entertainment and Finance 3

Data Science for E-Healthcare, Entertainment and Finance

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3rd international conference on Inventive Research in computing Applications, ICIRCA 2021

作者： Sanghvi, Harshal A. Pandya, Samvid B. Chattopadhyay, Pratyay Patel, Riki H. Pandya, Abhijit S. Florida Atlantic University United States Changa India Ahmedabad India

ISBN: (纸本)9780738146270

data science has proved to be one of the sexiest jobs of 21st Century where humans more rely on the observations or results calculated by the computers and humans can focus more on creativity and to implement the strategies on how to solve the real-world problems. data science is extremely used in E-healthcare and has been proved for predicting the diseases and curing them at a primary stage. The Internet of Things (IoT) when combined with the data science can create wonders for the medical science where the regular observations of the symptoms would be studied, and the medications would be given by the physician/clinician on real time basis. The next age of Artificial Intelligence would replace various human jobs and to study the accuracy of the same the algorithms of data science can be used. So far, there are many biomedical innovations that have been developed in past few years due to which the study of the data becomes more important these days. data science is not just used in Medical science but is also used in Entertainment, Technology, Business and much more [Fig-1]. The applications of this emerging field are very vast and in this paper our study shows how data science is used in various areas so far and its future predictability. © 2021 IEEE.

关键词： Internet of things

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Multilevel Security Framework based on An Onion Encryption in Public Cloud Network 3

Multilevel Security Framework based on An Onion Encryption i...

引用

3rd international conference on Advances in computing, Communication Control and Networking, ICAC3N 2021

作者： Roy, Prince Kumar, Rajneesh MMEC Maharishi Markandeshwar Deemed to Be University Department of Computer Science and Engineering Mullana Haryana Ambala India

ISBN: (纸本)9781665438117

Cloud computing has evolved as a well-known technology in the twenty-first century for delivering data service requirements at a low cost, with minimal effort, and with a high level of scalability. Because the Public Cloud has some passiveness, hackers can effortlessly get unauthorized admittance to data, launch fabrication attacks, and conduct a variety of other internal and external attacks. A multilevel level security framework based on Onion encryption was proposed in this paper. This framework generates session keys to maintain data confidentiality, authentication and mitigates interception, fabrication attacks, Onion encryption was used to ease any effort to transform or influence paths for gaining access, and a Blockchain-based decentralized framework was used to preserve data integrity. © 2021 IEEE.

关键词： Cryptography

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Survey on Importance of Load Balancing for Cloud computing 3

Survey on Importance of Load Balancing for Cloud Computing

引用

3rd international conference on Advances in computing, Communication Control and Networking, ICAC3N 2021

作者： Shukla, Shubham Singh, Ajay Kumar Kumar Sharma, Vijay Meerut Institute of Engineering and Technology Computer Science and Engineering Meerut India

ISBN: (纸本)9781665438117

Cloud computing is very demanding technology worldwide to support industrial and academy related applications. Government department, universities and Enterprises move towards cloud computing, it is an extension of IT resources. Cloud computing provide the facility to store the large number of data on the cloud and can access whenever it required from anywhere. Cloud computing become very demanding technologyfor web applications, a huge number of users can access web application at a time so the concept of Load Balancer come into picture. In this survey paper we compare and contrast the various load balancing policy. © 2021 IEEE.

关键词： Surveys

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Cost-Benefit Analysis of Cloud computing in Education Using the Base Cost Estimation Model 3

Cost-Benefit Analysis of Cloud Computing in Education Using ...

引用

3rd international conference on Cybernetics and Intelligent System (ICORIS)

作者： Salindeho, Jannice Felicia Moedjahedy, Jimmy H. Lengkong, Oktoverano Univ Klabat Comp Sci Dept Airmadidi Indonesia

ISBN: (纸本)9781665425803

Cloud computing is one of technology's miracle workers that fulfill today's needs. Especially with the current economic crisis due to COVID-19 and the demand for higher quality education, schools and colleges are under increasing pressure to deliver more from less. To aid this issue, educational institutions can utilize cloud computing to increase their capacity without requiring heavy infrastructure investments while lowering the Total Cost of Ownership (TCO). However, despite the dependence on technology and its vast development, many institutions are still hesitant to make the right choice by going cloud. Because of this, the researcher intends to analyze the data Center's expenditures at Universitas Klabat and compare them with pricing estimations made in the cloud so that the university can gain an idea of how much the data center truly costs and whether going cloud can minimize the costs. The method used by the researcher to obtain data used in measurement through interviews, financial data of the university's data center in three years, 2018-2020. The physical data center will be calculated by a framework derived from a previous cost-benefit analysis of the cloud computing framework by Nanath and Pillai. As for the cloud data center, the cost estimations will be made based on the servers' specifications analyzed from the data while comparing two cloud providers, Amazon Web Services and Microsoft Azure. The calculations on the physical data center costs, the AWS cloud costs, and the Azure cloud cost are then compared to find which alternative has the least expenditures. It is found that alternative Microsoft Azure is the most affordable among others. However, interestingly, the highest cost among the three alternatives is the AWS cloud cost instead of the physical data center cost. Because of this, it is found that the cloud data center can be more affordable than the physical data center depending on the cloud provider that any company uses. In addition, clou

关键词： data center cost-benefit analysis cloud computing total cost of ownership comparison

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Research on business area mining using location data based on hierarchical clustering algorithm 3

Research on business area mining using location data based o...

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3rd international conference on Computer science and Communication Technology, ICCSCT 2022

作者： Huang, Fangliang Xu, Huanqing Shen, Tongping Jin, Li School of Medicine and Information Engineering Anhui University of Chinese Medicine Hefei China College of Computing and Information Technologies National University Manila Philippines

ISBN: (纸本)9781510661240

According to the coverage of cell phone signals in geographic space, combined with time series of cell phone, positioning data can restore the complete realistic activity trajectory of the population, so as to obtain the characteristic information of spatial distribution and activity connection of the population. In this paper, the user location dataset obtained from CMCC is pre-processed, then mined by hierarchical clustering algorithm and combined with data visualization techniques. The experimental results can provide decision support for commercial promotion, so as to carry out targeted business layout. © 2022 SPIE.

关键词： data visualization

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Learning High Dimensional Multi-response Linear Models with Non-oracular Quantum Search 3

Learning High Dimensional Multi-response Linear Models with ...

引用

3rd IEEE international conference on Quantum computing and Engineering (QCE)

作者： Chen, Jinyang Park, Cheolwoo Ke, Yuan Univ Georgia Dept Stat Athens GA 30602 USA Korea Adv Inst Sci & Technol Dept Math Sci Daejeon South Korea

ISBN: (数字)9781665491136

ISBN: (纸本)9781665491136

This paper studies linear regression models for high dimensional multi-response data with a hybrid quantum computing algorithm. We propose an intuitively appealing estimation method based on identifying the linearly independent columns in the coefficient matrix. Our method relaxes the low rank constraint in the existing literature and allows the rank to diverge with dimensions. The linearly independent columns are selected by a novel non-oracular quantum search (NQS) algorithm which is significantly faster than classical search methods implemented on electronic computers. Besides, NQS achieves a near optimal computational complexity as existing quantum search algorithms but does not require any oracle information of the solution state. We prove the proposed estimation procedure enjoys desirable theoretical properties. Intensive numerical experiments are also conducted to demonstrate the finite sample performance of the proposed method, and a comparison is made with some popular competitors. The results show that our method outperforms all of the alternative methods under various circumstances.

关键词： high dimensional data Grover's algorithm multi-response linear model non-oracular quantum search quantum machine learning

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A Modified data Clustering Algorithm for Uncertain data in Peer to Peer Networks 3

A Modified Data Clustering Algorithm for Uncertain Data in P...

引用

3rd international conference on Advances in computing, Communication Control and Networking, ICAC3N 2021

作者： Kumar, Shailender Divyanka Delhi Technological University Department of Computer Science and Engineering New Delhi India Delhi Technological University Department of Software Engineering New Delhi India

ISBN: (纸本)9781665438117

A sensational rise of various applications and businesses has led to the rise of data being collected, it is getting harder to store this data on a single machine. It has become more feasible to manage dispersed data sets and organizations. That is the reason distributed data mining methods have become popular. Perhaps the main hurdle of data mining is to perform data clustering. While many clustering calculations exist for certain and uncertain data sets, there is need of productive calculations for distributed data sets. In this paper, a modified hierarchical clustering algorithm is proposed for uncertain dataset to improve timing in execution of the process. © 2021 IEEE.

关键词： Cluster analysis

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Deep Learning Based Road Traffic Sign Detection and Recognition 3

Deep Learning Based Road Traffic Sign Detection and Recognit...

引用

3rd international conference on Inventive Research in computing Applications, ICIRCA 2021

作者： Swapna, Y. Reddy, Mekala Saketh Sai, Jagini Venkat Krishna, Nawathe Sri Sai Teja, Madugula Varun Vignan Institute of Technology and Sciences Department of Computer Science and Engineering Telangana India

ISBN: (纸本)9780738146270

In order to observe and recognize road signs, it is necessary to prepare a system that is mainly based on visibility. The traffic sign recognition system collects traffic sign data and allows the driver. Traffic signs from a series of images with inaccurate color data. Color-based unit area segmentation techniques are used to detect traffic signs. To improve the targeting performance, it is highly required to use products with the highest hue and saturation coefficients. To achieve higher shape classification performance, a linear support vector machine with raster space options are used for fractional blobs. Area unit recognition of traffic signs is applied to non-linear support vector multiple classifiers with the desired pixels that are connected to edges. © 2021 IEEE.

关键词： Traffic signs

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Cryptography Using Blowfish Algorithm 3

Cryptography Using Blowfish Algorithm

引用

3rd international conference on Advances in computing, Communication Control and Networking, ICAC3N 2021

作者： Sharma, Sugandha Patel, Krishna Nand Siddhath Jha, Aashish Chandigarh University Department of Computer Science and Engineering Punjab India

ISBN: (纸本)9781665438117

Security of data whether it is personal, professional or organizational from various attackers in today's world has become a very tough task. One of the easiest ways to protect the data is to use the technique of cryptography to convert the data into some non-readable form. There is a wide variety of algorithms that are used for data encryption, this review paper explains the Blow-fish algorithm for data encryption which is a symmetric encryption algorithm and uses the matching key for encryption and decryption. The data is converted into encrypted data (ciphertext) and can be accessible to only those who have the same key to decrypt the data. Therefore, the analysis will be done for an application that implements the blow-fish algorithm for data encryption. © 2021 IEEE.

关键词： Cryptography

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Big data Means to Optimize the Allocation of Preschool Education Resources: Dynamic Simulation Algorithm based on Python 3

Big Data Means to Optimize the Allocation of Preschool Educa...

引用

3rd international conference on Inventive Research in computing Applications, ICIRCA 2021

作者： Li, Sumei Inner Mongolia Nomal University Education College Hohhot Inner Mongolia010000 China

ISBN: (纸本)9780738146270

The advancement of science and technology and the development of the Internet make preschool education continue to reform and advance. In particular, the development of big data has brought new opportunities to preschool education. Big data algorithms can optimize the allocation of preschool education resources. This paper is based on the dynamic simulation algorithm of python to study the optimization of preschool education resource allocation by means of big data. Firstly, analyze the shortcomings and shortcomings of the current domestic preschool education resource allocation;then introduce the development of big data technology and the dynamic simulation algorithm based on python;finally use the dynamic simulation algorithm to optimize the allocation of preschool education resources. © 2021 IEEE.

关键词： Python

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