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Edge computing in smart Production 28th

Edge Computing in Smart Production

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28th international conference on Robotics in Alpe-Adria-Danube Region (RAAD)

作者： Um, Jumyung Gezer, Volkan Wagner, Achim Ruskowski, Martin DFKI Trippstadter Str 122 D-67663 Kaiserslautern Germany Kyung Hee Univ Deogyeong Daero 1732 Yongin 17104 South Korea

ISBN: (纸本)9783030196486;9783030196479

Flexibility in mass-customized manufacturing can be supported significantly by the introduction of Cyber-Physical Production System and the connection of production modules to AI (artificial intelligence) Cloud services. Even though there exist standardized protocols from device to IT system, there are still challenges for the synchronization between cyber-model and physical object, and the application of decision making in the cyber-model. Although high performance machine learning services make the Cloud a preferred computation node, possible unstable connection with manufacturing resources enforce new service distribution approaches in the network. This paper proposes an Edge computing architecture which is the mediator between machines, by providing local Cloud services with fast response time and preprocessing resources for a vast amount of data. As an illustrative example the selected Edge service pre-processes data form an augmented reality device in order to communicate with the cyber-model in real time. The Edge platform controls the computing resources and prioritizes all processes of Edge Services for a dynamic update of production lines and human-machine-interaction.

关键词： smart factory Edge computing Human-machine interaction Cyber-Physical system

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3rd international conference on Computer Science, Engineering and Education Applications, ICCSEEA 2020

3rd International Conference on Computer Science, Engineerin...

引用

3rd international conference on Computer Science, Engineering and Education Applications, ICCSEEA 2020

ISBN: (纸本)9783030555054

The proceedings contain 59 papers. The special focus in this conference is on Computer Science, Engineering and Education Applications. The topics include: Construction of Individual Learning Scenarios;technology-Enhanced Financial Education and Sustainability Goals;health Status Recognition System for Communication Equipment Based on data Mining;use of Sustainable Innovation in Information System: Integrate Individual’s Spirit and Team Climate;relations of the Genetic Code with Algebraic Codes and Hypercomplex Double Numbers;research on Logistics Center Location-Allocation Problem Based on Two-Stage K-Means Algorithms;operational Intelligence Software Concepts for Continuous Healthcare Monitoring and Consolidated data Storage Ecosystem;method of Recognition and Indexing of People’s Faces in Videos Using Model of Machine Learning;deduplication Method for Ukrainian Last Names, Medicinal Names, and Toponyms Based on Metaphone Phonetic Algorithm;two-Layer Perceptron for Voice Recognition of Speaker’s Identity;significant Parameters of the Keystroke for the Formation of the Input Field of a Convolutional Neural Network;detection of Ventricular Late Potentials in Electrocardiograms Using Machine Learning;smart Prothesis: Sensorization, Humane Vibration and Processor Control;optimization of Stock Basing on Improved Grey Prediction Model: A Case Study on Garment Supply Chain;improved Post-quantum Merkle Algorithm Based on Threads;improvement of Merkle Signature Scheme by Means of Optical Quantum Random Number Generators;integrated Water Management and Environmental Rehabilitation of River Basins Using a System of Non-linear Criteria;distribution of Resources Between Composite Applications in a Hyperconverged System;the Possibilistic Gustafson-Kessel Fuzzy Clustering Procedure for Online data Processing;information System Penetration Testing Using Web Attack Automated Simulation.

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Effects of the Use of smart Glasses on Eyesight 2nd

Effects of the Use of Smart Glasses on Eyesight

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2nd international conference on Human Systems Engineering and Design (IHSED) - Future Trends and Applications

作者： Herzog, Natasa Vujica Beharic, Amer Univ Maribor Fac Mech Engn Maribor Slovenia Healthcare Ctr Dr Adolfa Drolca Maribor Maribor Slovenia

ISBN: (纸本)9783030279288;9783030279271

smart glasses, also named as data glasses, are an example of Head Mounted Display (HMD) with a great potential in different manufacturing environments. They collect data from a wireless network and project information directly into the user's eye. It is evidenced from the literature that HMD can cause headaches, pressure in the eyes, problems with focusing and difficulties with text reading. Therefore, we tried to research whether use of smart glasses could be harmful for the human eye or not. To study the addressed problems, a research was performed in testing warehouse environment at the Faculty of Mechanical Engineering. Users comfort was tested through questionnaire and several eyes investigations before and after use of smart glasses in Healthcare Center Maribor. The results of the performed ophthalmologic tests show that there are some statistically significant differences between tests results performed before and after use of smart glasses that cannot be overlooked.

关键词： Human-systems integration smart glasses Industry 4.0 Warehouse

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Reducing Dimensionality of data Using Autoencoders 3rd

Reducing Dimensionality of Data Using Autoencoders

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3rd international conference on smart computing and Informatics (SCI)

作者： Janakiramaiah, B. Kalyani, G. Narayana, S. Krishna, T. Bala Murali PVP Siddhartha Inst Technol Vijayawada India DVR & Dr HS MIC Coll Technol Vijayawada India Gudlavalleru Engn Coll Gudlavalleru India SSIET Nuzvid India

ISBN: (纸本)9789813296909;9789813296893

data dimensionality reduction is a long-standing pre-processing step in machine learning algorithms. Many of the efficient methods are devised to reduce the dimensionality of data very effectively;however, they are incapable of recovering the original data. But the autoencoders are effective not only in reducing the dimensionality but also reconstructing the original data. In this paper, we are attempting to explore the dimensionality reduction capability of autoencoders, and try to comprehend the difference between autoencoder and PCA dimensionality reduction methods. Experiments are conducted on both the methods using MNIST datasets. The results show that the autoencoder can indeed learn somewhat dissimilar from PCA method.

关键词： Autoencoders PCA Dimensionality reduction

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Log analytics in HPC: A data-driven Reinforcement Learning Framework

Log Analytics in HPC: A Data-driven Reinforcement Learning F...

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39th IEEE international conference on Computer Communications (IEEE INFOCOM)

作者： Luo, Zhengping Hou, Tao Nguyen, Tung Thanh Zeng, Hui Lu, Zhuo Univ S Florida Tampa FL 33620 USA Intelligent Automat Inc Rockville MD USA

ISBN: (纸本)9781728186955

High Performance computing (HPC) has been employed in many fields such as aerospace, weather forecast, numerical simulation, scientific research etc. Security of HPC, especially anomaly/intrusion detection, has attracted many attentions in recent years. Given the heavily instrumented property of HPC systems, logs become an effective and direct data source that can be utilized to evaluate the system status, further, to detect anomalies or malicious users. In this paper, we offer a novel perspective, treating the anomaly detection in HPC as a sequential decision process, and further applying reinforcement learning techniques to learn the state transition process, based on which we build a framework named as ReLog to detect anomalies or malicious users. Besides, a common challenge of employing machine learning techniques is lacking sufficient data, we provide a generative adversarial network (GAN)-based solution to generate sufficient training data in HPC. The experimental validations are conducted based on real-world collected MPI logs, and our results demonstrate a 93% of detection accuracy on the collected dataset.

关键词： High performance computing security reinforcement learning defenses and attacks log analytics

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Application of association rules algorithm in teaching reform under the background of internet plus era – taking the teaching reform of international trade as an example

Application of association rules algorithm in teaching refor...

引用

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

作者： Zhong, Feiyan Guangzhou City Construction College Guangzhou510925 China

ISBN: (纸本)9789811525674

Under the background of internet plus era, the teaching reform of international trade major is imperative, but the reform is very difficult. Therefore, an algorithm based on association rules was established to calculate and analyze the related issues of teaching reform. In this way, the difficulty of artificial reform can be simplified, and the goal of reform can be achieved. Through the test and experiment of algorithm, it is proved that our algorithm has great advantages. It not only has short time and high accuracy, but also is an algorithm that has been utilized well, which is suitable for our teaching reform. © Springer Nature Singapore Pte Ltd. 2020.

关键词： international trade

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Energy- And Time-Efficient Tasks Offloading and Dynamic Resource Allocation in smart City 13

Energy- And Time-Efficient Tasks Offloading and Dynamic Reso...

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2020 IEEE Congress on Cybermatics: 13th IEEE international conferences on Internet of Things, iThings 2020, 16th IEEE international conference on Green computing and Communications, GreenCom 2020, 13th IEEE international conference on Cyber, Physical and Social computing, CPSCom 2020 and 6th IEEE international conference on smart data, smartdata 2020

作者： Zhao, Bohai Peng, Kai Zhang, Haoqi Xu, Xiaolong School of Engineering Huaqiao University Quanzhou China The Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information Nanjing University of Science and Technology Ministry of Education Nanjing China

ISBN: (纸本)9781728176475

With the rapid development of information society, people urgently need to develop the traditional city model into a highly information and intelligent city model to meet the needs of users and the development of sociality. Therefore, people put forward a new concept called smart city. Correspondingly, as a concept of multiple intelligence, smart city has also got an excellent opportunity for development in terms of service performance with the emergence of mobile cloud computing, mobile edge computing and some new technologies. Specifically, based on the concept of mobile edge computing, there are many edge servers are installed close to users in smart city, and users can offload tasks to these edge servers to obtain better services by computation offloading. However, in the further development process of this new concept, smart city still need to face some problems in terms of energy consumption, latency, resource utilization and even in privacy security. These issues will affect the service quality of smart city seriously. In view of this, the optimization problem of smart city is studied in this paper. Considering the diversity and large number of users, the tasks generated are defined as a series of complex tasks composed of time-constrained workflows and concurrent constrained workflows, and an energy- and time-efficient method with privacy preservation is proposed, which can optimize the energy consumption, time consumption and the resource of the system jointly. Experimental results have shown that the proposed method can reduce the energy consumption and improve resource utilization for the system effectively. © 2020 IEEE.

关键词： smart city

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Student Activation in iOER Maker Spaces 21st

Student Activation in iOER Maker Spaces

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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： Kau, Manfred Univ Appl Sci Bonn Rhein Sieg St Augustin Germany

ISBN: (纸本)9783030119324;9783030119317

Interactive Open Educational Resources (iOER) package both information and software to interact with its information in a single component. In Maker Spaces students are following their own ideas, building individual products in small projects, learning about production skills and appropriate machinery. This paper describes concepts and implementation of iOER Maker Spaces based on advanced web technologies, how they contribute to student activation and finally reports on our practical results. iOER Maker Spaces contribute to the societal task of enriching our digital common good.

关键词： OER iOER Maker space WWW Web components Digital common goods Learning analytics Learning data mining

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data Security Risk and Preventive Measures of Virtual Cloud Server Based on Cloud computing

Data Security Risk and Preventive Measures of Virtual Cloud ...

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international conference on Cyber Security Intelligence and analytics, CSIA 2020

作者： Xia, Ping Guangzhou College of Technology and Business Guangdong China

ISBN: (纸本)9783030433055

Cloud computing is another technological revolution of the Internet. It is the product of the development of the information age, which has changed the way people use data and applications. The core idea of cloud computing is to virtualize server entities into logical servers, forming a large cloud resource pool, and providing services such as common computing, parallel processing, and shared resources. However, with the continuous development of cloud computing technology, the large amount of user and application data processed on the virtual cloud server is vulnerable to various security threats. This paper mainly analyzes the data security risks of the virtual cloud server from three aspects of data transmission, data storage, and data application, and proposes corresponding data security precautions to ensure the data security of the virtual cloud server and build a good cloud service network security environment. © Springer Nature Switzerland AG 2020.

关键词： Risk assessment

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Analysis of Text Mining Tools in Disease Prediction 20th

Analysis of Text Mining Tools in Disease Prediction

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20th international conference on Hybrid intelligent Systems, HIS 2020 and 12th World Congress on Nature and Biologically Inspired computing, NaBIC 2020

作者： Kumari, Shabnam Vani, V. Malik, Shaveta Tyagi, Amit Kumar Reddy, Sravanti SRMIST University ChennaiTamilnadu603203 India School of Computer Science and Engineering Vellore Institute of Technology ChennaiTamilnadu600127 India Terna Engineering College MumbaiMaharshtra India Center for Advanced Data Science Vellore Institute of Technology ChennaiTamilnadu600127 India VJIET HyderabadTelangana India

ISBN: (纸本)9783030730499

Due to rapid creation of digital data by Internet of Things devices or smart devices, many new modern mining strategies/techniques require to handle/analyse this large amount of data. Note that more than 90% of today’s data is in present (generated) unstructured or semi-structured data format (most of part of this data is being generated only in the past decade). The discovery of appropriate patterns and trends to analyse the text documents from this large big data (i.e., large volume of data) is a big issue. Text mining is a process of extracting interesting and non- trivial patterns from huge amount of text documents. There exist different techniques and tools to mine the text (also other data format) and discover valuable information for future prediction and decision making process. Basically, there are two terms used in making or extracting some relevant information from a data-set, i.e., prediction modelling, and text mining. Predictive models are often used to detect crimes and identify suspects, after the crime has taken place/to detect an email, how likely that it is spam. Similarly, text mining used in applications like digital libraries, academic research field, life science, social media, business intelligence, etc. Today’s different text mining techniques are available for analysing the text patterns and their mining process, some of them are included here as: document classification (text classification, document standardization), information retrieval (keyword search/querying and indexing), document clustering (phrase clustering), natural language processing (spelling correction, lemmatization, grammatical parsing, and word sense disambiguation), information extraction (relationship extraction/link analysis), and web mining (web link analysis), etc. This article discusses and analyse the text mining techniques and their applications in diverse fields of life. This work discusses about several use-cases, efficient algorithms like apriori algorithm, ass

关键词： Classification (of information)

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