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检索条件"任意字段=3rd IEEE Intelligent Data Acquisition and Advanced Computing Systems"

共 1248 条记录，以下是541-550 订阅

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Wireless IoT-Based Intrusion Detection Using LIDAR in the Context of intelligent Border Surveillance System 3rd

Wireless IoT-Based Intrusion Detection Using LIDAR in the Co...

引用

3rd International Conference on Smart computing and Informatics, SCI 2018

作者： Segireddy, Sravani Koneru, Suvarna Vani HyderabadTelangana500008 India Department of Computer Science and Engineering VR Siddhartha Engineering College VijayawadaAndhra Pradesh520007 India

ISBN: (纸本)9789811392818

Patrolling borders of India has become a tedious and risky task for military and para-military personnel in order to control Intrusions. With the advancements in wireless IoT (Internet of Things) technology, it has become much easier to design, develop and deploy a cost-effective, automatic and efficient system for intrusion detection in the context of surveillance. Making the system suitable for all types of environments, the light detection and ranging (LIDAR) sensor is developed for the acquisition of distance with a range of 40 m from the position where an object resides. data collected by the sensor is monitored and administered in a server. Software required for the analysis of data and generation of alert notifications is deployed in the server which is an added feature to the system and assists the concerned security personnel to respond quickly and engage the safety. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Intrusion detection

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Enhance computing performance through deep learning and blockchain integration for public health problems 37

Enhance computing performance through deep learning and bloc...

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37th International Conference on Biomedical Engineering, IBIOMED 2020

作者： Purnomo, Mauridhi H Fahruzi, Iman Anggraeni, Wiwik Dept of Electrical Engineering Dept of Computer Engineering Faculty of Intelligent Electrical and Informatics Technology Institut Teknologi Sepuluh Nopember Surabaya Indonesia Dept of Electrical Engineering Dept of Information Systems Faculty of Intelligent Electrical and Informatics Technology Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9781728171562

Blockchain is one of the most phenomenal innovations and becomes an attraction to be widely implemented in public health. Blockchain manages and accesses various data sets distributed across all users. It requires tools that can solve this data processing problem. Deep learning can be used to analyses and process public data efficiently and rapidly. Blockchain and deep learning integration support efforts to address accuracy, latency, centralization, security, and privacy issues. This research proposes the concept and architecture of blockchain and deep learning integration for public health problems. Results show that deep learning is capable of classifying cases with more than 80% accuracy and dengue fever cases forecasting with average RMSE 10,39 © 2020 ieee.

关键词： Public health

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Digital data Convertion Using Content Addressable Memory 10

Digital Data Convertion Using Content Addressable Memory

引用

10th ieee International Conference on intelligent data acquisition and advanced computing systems - Technology and Applications (IDAACS)

作者： Kokosinski, Zbigniew Cracow Univ Technol Ul Warszawska 24 PL-31155 Krakow Poland

ISBN: (纸本)9781728140681

In this paper a novel digital data conversion scheme is proposed that may be applied in analog or digital data acquisition systems. In this scheme possible input redundancy of combinational logic circuit is eliminated by argument reduction. CAM (associative memory) is used in two implementations - for binary and ternary logic, respectively. For binary CAM hardware generators of column masks may be applied. The resulting digital structure can be easily implemented in FPGA.

关键词： CAM combinational circuit data convertion DRMAX-DC algorithm mask generator Minimum Base Problem

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data Piecewise Linear Approximation for Bearings Degradation Monitoring 10

Data Piecewise Linear Approximation for Bearings Degradation...

引用

10th ieee International Conference on intelligent data acquisition and advanced computing systems - Technology and Applications (IDAACS)

作者： Huang, Fei Sava, Alexandre Adjallah, Kondo H. Wang, Zhouhang Univ Lorraine Lab Concept Optimisat & Modelisat Syst LCOMS EA 7306 F-57000 Metz France Huaiyin Inst Technol 1 Meicheng Rd Huaian 223003 Jiangsu Peoples R China

ISBN: (纸本)9781728140698

In this paper, we propose a method based on piecewise linear approximation (PLA) with segmented projection error (SPE) to reveal the underlying correlation structures and approximate multivariate time series. Based on this method we elaborate an indicator called vector of segmented projection error (VSPE) to characterize the bearings degradation using standard time domain standard features extracted from the vibration signal. The indicator VSPE monitors the evolution of the entire degradation process efficiently and provides real-time information on bearings degradation. We show the effectiveness of this new indicator using benchmark data. The results reveal the sensitive and monotonic character of the indicator VSPE according to the bearings degradation, which is promising for monitoring bearings on their lifespan.

关键词： piecewise linear approximation segmented projection error VSPE

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Insider threat detection using deep learning: A review 3

Insider threat detection using deep learning: A review

引用

3rd International Conference on intelligent Sustainable systems, ICISS 2020

作者： Raut, Madhu Dhavale, Sunita Singh, Amarjit Mehra, Atul Defence Institute of Advanced Technology Pune India Persistent Systems Pune India National Critical Information Infrastructure Protection Centre Mumbai India

ISBN: (纸本)9781728170893

A plethora of research is available for detecting and mitigating threats that occur across the organization's boundaries. However, Insider Threat Detection has only recently entered the limelight. It turns out to be a daunting task, given that insiders can evade firewalls, Intrusion Detection systems, and other security mechanisms aimed at protecting the information infrastructure from outside attacks. In addition to this, some insiders having administrative rights to access privileged information and perform operations on it might turn rogue. Their malicious actions could go undetected as their digital footprint might get buried in massive dumps of log data. This survey aims to provide a comprehensive explanation of the problem statement at hand, Insider Threat Detection using Deep Learning. It has been initiated by introducing Insider Threat Detection and related terminology. Deep Learning has been chosen as the preferred approach for solving this problem statement as it has been proven to be better than the conventional Machine Learning algorithms while dealing with complex data originating from varied sources. Here, Deep Learning and Log based Anomaly Detection have been explained. Some datasets available specifically for the research domain of Insider Threat Detection have been brought under one roof. Then, by having a closer look at the CERT Insider Threat dataset, a brief comparative analysis of the existing Deep Learning solutions for Insider Threat Detection based on this dataset is provided. Also, this work overviews the challenges faced and how they open doors for further research. In order to cater to the readers looking for an industry-oriented approach, this survey explains how a Deep Learning model can be integrated with the Elasticsearch-Logstash-Kibana (ELK) Stack. © 2020 ieee.

关键词： Anomaly detection

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3D Virtual Biomimetic Network: a Topology for Resilient intelligent Wireless Sensor Networks 10

3D Virtual Biomimetic Network: a Topology for Resilient Inte...

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10th ieee International Conference on intelligent data acquisition and advanced computing systems - Technology and Applications (IDAACS)

作者： Ahmed, Yousif E. E. Adjallah, Kondo H. Amin, Magdi B. M. Univ Gezira Wad Madani Sudan Univ Lorraine Metz France Univ Khartoum Khartoum Sudan

ISBN: (纸本)9781728140681

Wireless data communication has a key role in any updated information technology-based project. Mobility, flexibility, scalability, and easy-to-install are the main features of wireless data acquisition systems. While the limited lifetime, availability, failure risk, and reliability are still significant challenges. Inspired by the spider webs, as an attractive natural communication topology, this work proposes using the spider webs topology to design reliable and resilient, intelligent wireless sensor networks to be implemented for wireless data acquisition, aiming to provide promising solutions for such problems. The paper provides several definitions for innovated concepts and relevant notations such as the virtual thread, virtual thread thickness, virtual thread density, sensor nodes and base station deployment, data shortest path, data path resiliency, and reliability, from spider webs point of view. Then, it describes the significant research challenges to be addressed for applicable 3D Virtual spider webs. Also, it illustrates the customization approach of 3D virtual spider webs of wireless data acquisition for service, security, resources planning, and decision making.

关键词： Virtual Biomimetic Network Resiliency intelligent Wireless Sensor Networks Modeling

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New Quantum Secret Sharing Protocol Using Entangled Qutrits 10

New Quantum Secret Sharing Protocol Using Entangled Qutrits

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10th ieee International Conference on intelligent data acquisition and advanced computing systems - Technology and Applications (IDAACS)

作者： Vasiliu, Yevhen Limar, Igor Gancarczyk, Tomasz Karpinski, Mikolaj OS Popov Odessa Natl Acad Telecommun 1 Kuznechna St UA-65029 Odessa Ukraine Engn & Technol Inst Bioengn 26 Mayakskaya Rd UA-67667 Khlebodarskoye Village Odessa Region Ukraine Univ Bielsko Biala 2 Willowa St PL-43309 Bielsko Biala Poland

ISBN: (纸本)9781728140698

A new quantum secret sharing protocol based on the ping-pong protocol of quantum secure direct communication is proposed. The pairs of entangled qutrits are used in protocol, which allows an increase in the information capacity compared with protocols based on entangled qubits. The detection of channel eavesdropping used in the protocol is being implemented in random moments of time, thereby it is possible do not use the significant amount of quantum memory. The security of the proposed protocol to attacks is considered. A method for additional amplification of the security to an eavesdropping attack in communication channels for the developed protocol is proposed.

关键词： quantum secret sharing quantum secure direct communication entangled qutrits detection of eavesdropping security amplification

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3rd International Conference on Mechatronics and intelligent Robotics, ICMIR 2019

3rd International Conference on Mechatronics and Intelligent...

引用

3rd International Conference on Mechatronics and intelligent Robotics, ICMIR 2019

ISBN: (纸本)9789811502378

The proceedings contain 96 papers. The special focus in this conference is on Mechatronics and intelligent Robotics. The topics include: Research on intelligent Control System of Plate Straightening Based on Knowledge acquisition;Numerical Simulation of Submarine Shaft-Rate Electric Field Based on COMSOL Finite Element;Gauss–Hermite PHD Maneuvering Multi-target Tracking Algorithm;research on Driving State Monitoring Based on Vehicle-Road Collaborative Wireless Positioning Technology;Reliability Analysis of On-Board ATP System in Metro Based on Fuzzy Dynamic Fault Tree;image Fusion Based on Convolutional Sparse Representation with Mask Decoupling;research of the Test Algorithms of Servo System Frequency Characteristics;utilization Factor Calculation Method Based on Adam Algorithm and Neural Network;demand Forecasting of Helicopter Aviation Materials Based on Multi-model Reliability Analysis;A Fracture Model Established by Finite Element Simulation and Non-dominated Sorting Genetic Algorithm II for an Al Alloy;modal Analysis and Dynamics Simulation of Elliptical Trainer;research on Fatigue-Magnetic Effect of High-Speed Train Wheelset Based on Metal Magnetic Memory;intelligent Manufacturing Information Security Sharing Model Based on Blockchain;research into Effects of Pearl Oyster Cultivation in Freshwater with Extensible Mind Mapping;research and Application of Collecting and Integrating Information Fragment Based on Java;research on Equipment Health Management Support Information System Based on Big data;Study on the Influence Factors of Resident’s Utilization of Mobile Health Management APP;an Improved Adaptive Disturbance Rejection Control Method for the Servo Motor in Robots;design and Validation of Three-Axis High Definition Magnetic Flux Leakage Detection Robot for Oil/Gas Pipelines;research Methods of Artificial Intelligence.

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Fuzzy Estimation Method of Information System Providing Part Influence on the Functioning Quality 10

Fuzzy Estimation Method of Information System Providing Part...

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10th ieee International Conference on intelligent data acquisition and advanced computing systems - Technology and Applications (IDAACS)

作者： Vasylkiv, Nadiia Dubchak, Lesia Turchenko, Iryna Ivashchuk, Iryna Savchyshyn, Ruslan Ternopil Natl Econ Univ 3 Peremoha Sq UA-46020 Ternopol Ukraine MagneticOne Grp 11211 Taylor Draper Ln 115 Austin TX 78759 USA

The fuzzy estimation method of the information system providing part influence on the functioning quality is developed. It's based on a fuzzy system, the inputs of which are the states of reliability for software,... 详细信息

ISBN: (纸本)9781728140681

关键词： information system quality reliability refusal fuzzy logic

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An ANP-GRA-based evaluation model for security features of IoT systems 3rd

An ANP-GRA-based evaluation model for security features of I...

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3rd International Conference on intelligent Communication, Control and Devices, ICICCD 2018

作者： Hinduja, Akshay Pandey, Manju Department of Computer Applications National Institute of Technology Raipur RaipurChhattisgarh India

ISBN: (纸本)9789811386176

The world has been experiencing a notable growth on the application of Internet of Things (IoT)-based appliances as IoT has been established as a major component of Information Technology after digital computer, Internet, and mobile technologies. However, the rapid growth of IoT-based systems also raises two undeniable concerns: security and privacy. Since IoT-based appliances are inherently exposed to the security attacks, security and privacy must be taken into account at the time of their acquisition. Owing to their economic concerns, the IoT-based system manufacturers may compromise with security issues, which can cause a breach of the network security and exploitation of user data. Therefore, an assessment framework for security features of IoT system is imperative. In this paper, we develop an assessment framework to evaluate the security features of IoT-based equipment. The proposed assessment framework uses hybrid multi-criteria decision making (MCDM) methodology. The framework comprises two widely used MCDM methods, Analytic Network Process (ANP) and Grey Relational Analysis (GRA). The evaluation process of security features of IoT system is twofold: first ANP is used to assign importance to the evaluating criteria, and then GRA is used to assess the alternatives with respect to the criteria. We also carried out an empirical study on assessment of IoT-based healthcare devices. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Internet of things

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