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SECURETF: A Secure TensorFlow Framework 20

SECURETF: A Secure TensorFlow Framework

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21st international Middleware conference (Middleware)

作者： Le Quoc, Do Gregor, Franz Arnautov, Sergei Kunkel, Roland Bhatotia, Pramod Fetzer, Christof Tech Univ Dresden Scontain UG Dresden Germany Tech Univ Dresden Dresden Germany Tech Univ Munich Munich Germany

ISBN: (纸本)9781450381536

Data-driven intelligent applications in modern online services have become ubiquitous. These applications are usually hosted in the untrusted cloud computing infrastructure. This poses significant security risks since these applications rely on applying machine learning algorithms on large datasets which may contain private and sensitive information. To tackle this challenge, we designed sEcuRETF, a distributed secure machine learning framework based on Tensorflow for the untrusted cloud infrastructure. sEcuRETF is a generic platform to support unmodified TensorFlow applications, while providing end-to-end security for the input data, ML model, and application code. sEcuRETF is built from ground-up based on the security properties provided by Trusted Execution Environments (TEEs). However, it extends the trust of a volatile memory region (or secure enclave) provided by the single node TEE to secure a distributed infrastructure required for supporting unmodified stateful machine learning applications running in the cloud. The paper reports on our experiences about the system design choices and the system deployment in production use-cases. We conclude with the lessons learned based on the limitations of our commercially available platform, and discuss open research problems for the future work.

关键词： secure machine learning confidential computing intel software guard extensions (Intel SGX) tensorflow

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Load Balancing in Cloud computing Environment Using CloudSim 1st

Load Balancing in Cloud Computing Environment Using CloudSim

引用

1st international conference on intelligent and Cloud computing, ICICC 2019

作者： Pattnaik, Saumendra Prakash Mishra, Jyoti Kumar Sahoo, Bidush Kumar Pattanayak, Binod Bhubaneswar India Computer Science and Engineering Department Gandhi Institute for Education and Technology BaniatangiBhubaneswar India Baniatangi India

ISBN: (纸本)9789811559709

Cloud computing has been built on the advancement of distributed computing and virtualization concept for offering effortless accessibility of the resources from various sources. It offers efficient access to many organizations to obtain services from the cloud service providers. The concept of virtualization is its advantage which leads to its extensive application. Through virtualization concept, it offers services to the users on demand basis. So, the cloud service providers consider the resource allocation to various servers, which needs to be done efficiently. So, we need cloud simulation and modeling tool for creating cloud as per necessity in cloud computing. Load balancing using these simulators is the task which is considered in this paper. CloudSim tool is used for verification of the load balancing modifying the number of brokers or number of virtual machines. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Cloud computing

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Exploring the Fog computing technology in Development of IoT Applications 1

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4th international conference on Smart computing and Informatics, SCI 2020

作者： Nukala, Chaitanya Shailaja, Varagiri Lakshmi Prasuna, A.V. Swetha, B. Nandyal Andra Pradesh518501 India Department of IT Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad Telangana500090 India Department of IT Mahatma Gandhi Institute of Technology Gandipet Hyderabad Telangana500075 India

ISBN: (数字)9789811615023

ISBN: (纸本)9789811615016

In the 21st era, IoT is assuming a significant part in creating Smart urban communities. With the development of IoT, information is developing with increasing speed. As the information is developing the need to store information is likewise expanding. More the information, the dormancy will be high to store and recover information from the cloud. The idea of mist processing was started to reduce the inertness for getting to information to and from the cloud. Haze processing gives the capacity, figuring just as systems administration administrations toward the end purpose of the system. Haze hubs likewise have restricted computational abilities. Because of certain shortcomings, haze figuring and distributed computing can’t continue alone, so both these advances are coordinated to fabricate keen IoT foundation for Smart city. Mist figuring have a significant job and preeminent duty being developed of a Smart city. This paper examines different utilization of mist registering and their usage in Smart urban areas. It additionally proposes a model for Waste administration framework in a city. Mist figuring can assist with overseeing the waste assortment of the city in a keen manner. Based on our survey, a few open concerns and difficulties of mist processing are examined, and the bearings for future analysts have additionally been talked about. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Waste management

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Improving the Quality of Training in Building Information Modeling 21st

Improving the Quality of Training in Building Information Mo...

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21st international conference on Interactive Collaborative Learning (ICL) / 47th IGIP international conference on Engineering Pedagogy - Teaching and Learning in a Digital World

作者： Mishchenko, Elena S. Monastyrev, Pavel, V Evdokimtsev, Oleg, V Tambov State Tech Univ Tambov Russia

ISBN: (纸本)9783030119324;9783030119317

The article considers the issues of improving the quality of specialists' training in the field of Building Information Modeling. The analysis of the development of information modeling and the regulatory base of the Russian Federation in this sphere was carried out. The analysis of data on the job market in the construction sector, the results of the employers' survey, and the experience in the implementation of the educational programs in Russian universities showed the need to improve the quality of education in the field of BIM-technology. The results of the employers' survey revealed their interest in further co-operation in the realization of educational programs. The main principles of formulating the learning outcomes by combining the requirements of federal state educational standards, professional standards and employers' requirements are considered.

关键词： Improving the quality of educational programs Building information modeling BIM-technology

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Data-Driven distributed Autonomous Architecture for 6G Networks 1

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1st international Artificial Intelligence conference, IAIC 2023

作者： Li, Pengyu Chen, Xinyu Sun, Zhenqiang Xing, Yanxia Zhou, Jianfeng Fan, Wanpeng 6G Research Center China Telecom Research Institute Beijing China Wireless Product Operation ZTE Corporation Nanjing China

ISBN: (数字)9789819712809

ISBN: (纸本)9789819712793

Currently, the industry has put forward new scenarios, including ISAC (Integrated sensing and communication), computing and network coordination, and ubiquitous intelligence, for potential application to 6G networks in the future. Addressing the systematic and organic integration of data, computing, and communication becomes a primary concern. Meanwhile, the commercialization of 5G networks on a large scale has gradually revealed some new issues, such as network reliability, flexibility, rapid deployment, and service customization, all of which can benefit from further improvement. In this paper, we propose a new intelligent and simplified architecture for 6G networks. We detail its functionalities, key features and procedures, and illustrate how to implement a new service in the future based on this architecture. This preliminarily verifies the capability of the architecture to enhance the existing networks while meeting future service requirements. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： 5G mobile communication systems

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Applying Hesitant Fuzzy Set To Rank student’s Projects

Applying Hesitant Fuzzy Set To Rank Student’s Projects

引用

Software Engineering, Artificial Intelligence, Networking and Parallel/distributed computing (SNPD-Winter), ACIS international Winter conference on

作者： Phan Hien Business Information Technology Faculty The University of Economics Ho Chi Minh Ho Chi Minh Viet Nam

ISBN: (纸本)9781665418430;9781665448260

One student's project is always evaluated by many teachers on multi criteria. If the mean score of projects are similar, it will be hard to compare them each other. However, if there has difference between score by different teachers or by different criteria, we can determine the real assessment of projects. In this paper, we apply the hesitant fuzzy set and multi-attribute decision making to evaluate student's projects. We have high rating on project which has low chaos on score by different teachers or by different criteria.

关键词： Chaos Fuzzy sets Decision making Artificial intelligence Software engineering

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IMPERFECT KNOWLEDGE BASE SELF-ORGANIZATION in ROBOTIC intelligent COGNITIVE CONTROL: QUANTUM SUPREMACY on BIG DATA ANALYSIS 9

IMPERFECT KNOWLEDGE BASE SELF-ORGANIZATION in ROBOTIC INTELL...

引用

9th international conference "distributed computing and Grid Technologies in Science and Education", GRID 2021

作者： Ulyanov, Sergey Shevchenko, Andrey Shevchenko, Alla Reshetnikov, Andrey Joint Institute for Nuclear Research Laboratory of Information Technology 6 Joliot-Curie St Dubna 141980 Russia Dubna State University Institute of System Analysis and Control 19 Universitetskaya St Dubna 141982 Russia Plekhanov Russian University of Economics Laboratory of Cloud Technologies and Big Data analytics Stremyanny Lane 36 Moscow117997 Russia

The smart control design with secured achievement of information-thermodynamic trade-off interrelations is main goal for quantum self-organization algorithm of imperfect KB. Quantum genetic algorithm applied on line for the quantum correlation's type searching between unknown solutions in quantum superposition of imperfect knowledge bases of intelligent controllers designed on soft computing. Disturbance conditions of analytical information-thermodynamic trade-off interrelations between main control quality measures (as new design laws) discussed. Sophisticated synergetic quantum information effect in autonomous robot in unpredicted control situations) and swarm robots with imperfect KB exchanging between "master - slaves" introduced.A new robust smart controller on line designed from responses on unpredicted control situations of any imperfect KB applying quantum hidden information extracted from quantum correlation discussed. Within the toolkit of classical intelligent control, the achievement of the similar synergetic information effect is impossible. © 2021 CEUR-WS. All rights reserved.

关键词： Economic and social effects

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Development of Craft Copyright Industry Using Blockchain technology

Development of Craft Copyright Industry Using Blockchain Tec...

引用

Software Engineering, Artificial Intelligence, Networking and Parallel/distributed computing (SNPD-Winter), ACIS international Winter conference on

作者： JungJae Lee Korea Soongsil Cyber University Seoul Korea

As the 4th industrial revolution is in full swing, major technologies that will lead the 4th industrial revolution such as the Internet of Things (IOT), artificial intelligence (AI), Big Data, and Blockchain are rapidly developing. Throughout the years, many changes in the service platform have begun to be detected. The crafts and culture industry is not being activated due to the decrease in productivity of artisan-centered apprenticeship training and the lack of continuous training of specialists due to the absence of a craft sales platform and marketing manpower. In order to save the shrinking market, search for crafts through the convergence of advanced ICT technologies to improve the productivity of craft products and expand the marketability of the craft culture industry. recommendation. Original authentication. Based on the sales distribution platform, it is necessary to develop technology to understand the creation of crafts by the general public and to support the creative activities of craftsmen.

关键词： Industries Productivity Blockchain Internet of Things Reliability Artificial intelligence Software engineering

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Education management reform of private colleges and universities based on artificial intelligence

Education management reform of private colleges and universi...

引用

international conference on Applications and Techniques in Cyber Intelligence, ATCI 2020

作者： Huang, Qi Shi, Liheng Yunnan Technology and Business University KunmingYunnan651700 China

ISBN: (纸本)9783030539795

Since the beginning of the 21st century, the rapid development of artificial intelligence technology at home and abroad has caused people’s work and life to change gradually. People are transitioning from the information age to the smart age. Whether private universities can catch up with the limited express train of the "era of artificial intelligence", improve their teaching management methods, improve teaching quality, improve the overall competitiveness of the school, and provide more outstanding talents to the society is an important issue. Therefore, the purpose of this article is to discuss the research on teaching management reform of private universities based on artificial intelligence. In this paper, through case analysis and interview analysis, a detailed analysis of the teaching management reform environment of private colleges and universities. The survey found that from 2013 to 2018, the average growth rate of private universities reached 6.5%. The case analysis method and interview method are used to analyze the current situation of artificial intelligence technology and private universities, as well as the idea of applying artificial intelligence technology to the teaching management of private universities to improve the teaching quality of private universities. Suggestions for teaching and improving the level of running a school are put forward. study the reform and practical exploration of artificial intelligence in teaching management to promote and ensure the development of teaching management. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

关键词： Quality control

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A Deep Learning Approach for Human Face Sentiment Classification

A Deep Learning Approach for Human Face Sentiment Classifica...

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Software Engineering, Artificial Intelligence, Networking and Parallel/distributed computing (SNPD-Winter), ACIS international Winter conference on

作者： Chetanpal Singh Santoso Wibowo Srimannarayana Grandhi School of Engineering & Technology CQUniversity Melbourne Australia

This paper presents the development of a deep learning approach for human face sentiment classification. Bidirectional Long-Short Term Memory (Bi-LstM) and recurrent neural networks (RNNs) are used for object-based segmentation in images, and CNN-RNN model is adopted for non-linear mapping. To test the applicability of this proposed approach, we have trained several deep neural networks to recognize facial expressions in 10,000 images. Our experiments show that the proposed approach can achieve an accuracy of 99.12% in classifying human face sentiment. Moreover, results indicate that the model not only boosts the classification model but also lessen the overhead.

关键词： Deep learning Image segmentation Recurrent neural networks Image recognition Face recognition Artificial intelligence Software engineering

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