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检索条件"任意字段=Proceedings of the 2020 2nd International Conference on Robotics Systems and Vehicle Technology"

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SP-EnCu: A Novel Security and Privacy-Preserving Scheme with Enhanced Cuckoo Filter for Vehicular Networks 2nd

SP-EnCu: A Novel Security and Privacy-Preserving Scheme wit...

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2nd international conference on Machine Learning and Information Processing, ICMLIP 2020

作者： Tandon, Righa Gupta, P.K. Department of Computer Science and Engineering Jaypee University of Information Technology Solan Himachal Pradesh173234 India

ISBN: (纸本)9789813348585

Security and privacy of vehicular communication are the two major challenges in vehicular network. In this paper, we have proposed a system model that focuses on security and privacy preservation of vehicles in the network. In order to preserve the privacy, Pseudonyms are assigned to each individual vehicle in the network. Reduced Round-Advanced Encryption Standard (RR-AES) has been used for ensuring the message security in the vehicular network. Furthermore, enhanced cuckoo filter has been implemented for verifying the authorised vehicles in the network. Results obtained for performance evaluation represents that the proposed scheme successfully reduces the time of encryption/decryption. Also, the proposed scheme minimises the false positive rate by 50% when compared with existing scheme. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： vehicles

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2nd international conference on 3D Imaging Technologies-Multidimensional Signal Processing and Deep Learning, 3D IT-MSPandDL 2020

2nd International Conference on 3D Imaging Technologies-Mult...

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2nd international conference on 3D Imaging Technologies-Multidimensional Signal Processing and Deep Learning, 3D IT-MSPandDL 2020

ISBN: (纸本)9789811631795

The proceedings contain 40 papers. The special focus in this conference is on 3D Imaging Technologies-Multidimensional Signal Processing and Deep Learning. The topics include: Sensitivity Analysis of NVH Structure of Car Body Based on Modal Analysis;research on the Design of Nutrition and Sports Health Management System Based on Artificial Intelligence;research on English Word Intelligent Learning System Based on Mobile Education Concept;research on the Application of Big Data Analysis in English Language Education;CFD Analysis of Droplet Diffusion in Negative Pressure Ward;research on Cognitive Analysis Method of Command Mechanism Based on Operational Data Flow Motifs;confirmatory Factor Analysis of Place Attachment in Agritourism;application of Computer Sensor and Detection technology in Mechatronics;establishment of Smart Customer Service System Based on Data Mining;a Drawing of Digital Printing Gamut Map;application and Development of Natural Language Processing Service in Intelligent Customer Service System;research on University Network Ecological Governance Based on Block Chain technology;research on Informatization Construction of University Laboratory Under the Background of New Infrastructure;run-Time Prediction Practices of Multimedia Web Design in technology Management;Design and Simulation of Orthogonal Frequency-Division Multiplexing (OFDM) Signaling;research on Intelligent Financial Framework of Colleges and Universities in Information Age;VHF Band Dual-Channel High-Power Transmitter and Receiver Module;Research and Implementation of Point Multiplication Over Elliptic Curve GF(2m) Based on VLSI;non-contact Hand Sanitizer Auxiliary Device for Public Places;Simulation of Young’s Double Slit Interference Experiment Based on MATLAB;an Improved Contour Feature Extraction Method for the Image Butterfly Specimen.

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Minimizing Normal vehicle Forces Effect During Cornering of a Two In-Wheel vehicle Through the Identification of Optimum Speed via Particle Swarm Optimization (PSO) 2nd

Minimizing Normal Vehicle Forces Effect During Cornering of ...

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2nd international conference on Innovative technology, Engineering and Sciences, iCITES 2020

作者： Zainal, Nurul Afiqah Azmi, Kamil Zakwan Mohd Zakaria, Muhammad Aizzat P. P. Abdul Majeed, Anwar Laboratory Faculty of Manufacturing and Mechatronics Engineering Technology Universiti Malaysia Pahang Pekan Pahang26600 Malaysia Centre for Software Development and Integrated Computing Universiti Malaysia Pahang Pekan Pahang Malaysia

ISBN: (纸本)9783030709167

Driving comfort is a non-trivial issue as it could pose adverse health issues particularly to those who travel-long distances. In the present study, we identify the optimum speed during cornering in order to reduce the effect of normal vertical forces towards driving experience of a two-in wheel vehicle. A bio-inspired metaheuristic method, namely Particle Swarm Optimization (PSO) was employed to address the objective of the present investigation on a twelve degrees of freedom human biodynamic model that is fused to a two-in-wheel car model. It was established through the PSO algorithm, that the optimal speed during cornering for the given car configuration is approximately 19 km/h. The findings of the present study are essential in ensuring human comfort is not compromised that in turn minimizes possible untoward risk to the driver. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Degrees of freedom (mechanics)

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Cost-Efficient Bluetooth-Controlled Robot Car for Material Handling 2nd

Cost-Efficient Bluetooth-Controlled Robot Car for Material H...

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2nd international conference on Communication, Devices and Computing (ICCDC)

作者： Tripathi, Sayan Jana, Jhilam Mandal, Sayan Pal, Debraj Das, Koushik Jana, Asim Kumar Pandit, Malay Kumar Jadavpur Univ Dept ETCE Kolkata 700032 India Haldia Inst Technol Haldia India

ISBN: (纸本)9789811508295;9789811508288

Nowadays, material handling with the help of robotics knowledge is the emerging part in our day-to-day life. Material handling can be used to diminish the physical efforts. The cost-efficient Bluetooth-controlled robot car has made it possible for increasing number of handling tasks that is the main benefit of this paper. In this paper, we have designed and implemented the Bluetooth-controlled robot car for material handling using Arduino, pyroelectric infrared (PIR) sensor, and Bluetooth module which prove to be lower in cost than the preexisting designs. This device can be beneficial to farmers, storage godowns, educational organization, and general public for reducing their physical labors.

关键词： Pyroelectric infrared (PIR) sensor Arduino Bluetooth robotics PCB design

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Challenges to implement Machine Learning in Embedded systems 2

Challenges to implement Machine Learning in Embedded Systems

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2nd IEEE international conference on Advances in Computing, Communication Control and Networking, ICACCCN 2020

作者： Malhotra, Kritika Kumar, Yankit Communication and Technology University School of Information Dwarka Delhi India Delhi Technological University Rohini Delhi India

ISBN: (纸本)9781728183374

Machine Learning has an important role in extraction of useful information out of sextillion bytes of data collected per day. The focus of machine learning is the development of computer programs that can access data and use it to learn for themselves. In some applications the goal of machine learning is to identify patterns by analyzing them (for e.g. in image recognisition, surveillance);while in others the aim is to take actions based upon input data (for e.g. in robotics, self-driving cars). For many of such applications embedded systems are used over cloud due to latency, privacy, and security concerns. Also using machine learning with embedded system creates a problem of restricted memory and processor speed. Although the required memory and processing speed can be met with high performance hardware but still time, space, cost, security, privacy and power consumption create a challenge in implementing machine learning in embedded system. In this paper it is being discussed about these challenges and how these challenges can be addressed using various techniques. © 2020 IEEE.

关键词： Embedded systems

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13th international conference on Security for Information technology and Communications, SecITC 2020

13th International Conference on Security for Information Te...

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13th international conference on Security for Information technology and Communications, SecITC 2020

ISBN: (纸本)9783030692544

The proceedings contain 19 papers. The special focus in this conference is on Security for Information technology and Communications. The topics include: An Ind-CCA2 Attack Against the 1st- and 2nd-Round Versions of NTS-KEM;behaviour-Based Biometrics for Continuous User Authentication to Industrial Collaborative Robots;secure Speaker Recognition System Using Homomorphic Encryption;Reliable RFID Offline Privacy;virtualization and Automation for Cybersecurity Training and Experimentation;long-Term Secure Deniable Group Key Establishment;card-Based Covert Lottery;hardware-Accelerated Cryptography for Software-Defined Networks with P4;security Analysis Using Subjective Attack Trees;off-the-Shelf Security Testing Platform for Contactless systems;a New Generalisation of the Goldwasser-Micali Cryptosystem Based on the Gap 2 k -Residuosity Assumption;new Insights on Differential and Linear Bounds Using Mixed Integer Linear Programming;secure Card-Based Cryptographic Protocols Using Private Operations Against Malicious Players;decentralized Multi-authority Anonymous Credential System with Bundled Languages on Identifiers;A Scalable Simulation of the BB84 Protocol Involving Eavesdropping;approach to Cryptography from Differential Geometry with Example;On Using zk-SNARKs and zk-STARKs in Blockchain-Based Identity Management.

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Review on Energy Management systems for Hybrid e vehicles 2

Review on Energy Management Systems for Hybrid e Vehicles

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2nd IEEE international conference on Power, Energy, Control and Transmission systems, ICPECTS 2020

作者： Katkar, Vaishali A. Goswami, Prerna School of Electrical Engineering Mit Academy of Engineering Alandi India Institute of Chemical Technology Department of General Engineering Matunga India

ISBN: (纸本)9781728110844

In recent years, there has been a significant increase in the automotive industry, which has increased the number of vehicles based on internal combustion engines (ICEs). Limitation of oil supplies and environmental degradation caused by emissions from ICE-based vehicles raises the need for energy efficient and environmentally sustainable vehicles. Today, eco-friendly, durable and powerful electric vehicles (EVs) have drawn global interest in the automotive sector. The efficiency of Hybrid Electric vehicles (HEV s) is highly dependent on the battery life. Energy management in Hybrid Electric vehicles (HEV s) and Plug-in Hybrid Electric vehicles (PHEVs) is therefore critical for improving the battery life without affecting the performance of the vehicle. This paper points out in depth the different control methods implemented for energy management, such as rules-based and optimizing energy management systems. It also focuses on the recent development of energy management algorithms focused on Deep Learning. © 2020 IEEE.

关键词： Energy management systems

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COVID-19 Future Forecasting based on Time-series statistical analysis using Machine Learning Model

COVID-19 Future Forecasting based on Time-series statistical...

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2021 international conference on Smart systems and Advanced Computing, SysCom 2021

作者： Kaur, Jaspreet Kaur, Prabhpreet Department of Computer Engineering & Technology Guru Nanak Dev University India

The epidemic COVID-19 has shaken the globe through its cruelty, and its spread rate continues to rise daily. This paper highlights the clinical stance in the COVID-19 research studies, where time-series statistical analysis has been performed by using Prophet Model. It is widely used to understand the trend of the current epidemic after 2nd May 2020 with data at the worldwide state. The prophet model is an open-source model obtained by the data science panel on Facebook for performing predicting operations. It assists to make fast and accurate predictions for existing data samples. The Prophet model is simple to implement because its open authorized repository exists on GitHub. The time-series data analysis refers to the confirmed, recovered, and death rates for the time of 2nd May 2021 to 17th January 2022. The statistical validation strategy is followed by the implementation of a T-test on the evaluated time-series data. The expected data generated by the predictive model can be further used by the official authorities, medical departments of various countries. Moreover, the model is used to provide new graphical insights into past, present, and future trends. © 2021 Copyright for this paper by its authors.

关键词： Time series

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Building an External Classifier of Negative Impacts in Assessing Survivability and Ensuring the Security of Information systems 2

Building an External Classifier of Negative Impacts in Asses...

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2nd international conference on Control systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2020

作者： Gromov, Yuri Minin, Yuri Eliseev, Aleksey Alrammahi, Ali Abdulkarem Habib Sari, Farah Abbac State Technical University Institute of Automation and Information Technology Tambov Tambov Russia

the article suggests a method for constructing classifier of external environmental impacts on functioning of information systems. Defined parameters of external influences on the system, presented using the fuzzy mac... 详细信息

ISBN: (纸本)9781728188409

关键词： Information systems

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Analyzing COVID-19 dataset through data mining tool 'Orange' 2

Analyzing COVID-19 dataset through data mining tool 'Orange'

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2nd international conference on Computation, Automation and Knowledge Management, ICCAKM 2021

作者： Thange, Uzma Shukla, Vinod Kumar Punhani, Ritu Grobbelaar, Wonda Amity University Dubai United Arab Emirates Amity University Department of Engineering and Architecture Dubai United Arab Emirates ASET Amity University India Department of Information Technology India HTMi Switzerland Dubai United Arab Emirates

ISBN: (纸本)9781728194912

Data mining is comprehended as a procedure used to get important data from any more extensive cluster of raw data. It infers assessment of data designs in huge data sets utilizing at least one or more applications. Data mining has applications in various fields, for instance science and research. Associations can improve client connections as a use of data mining and execute systems identified with different business capacities and thus upgrade business in an increasingly ideal and compelling way. This encourages organizations draw nearer to arriving at their objectives and to settle on smarter decisions as well. Orange is segment based visual programming for data mining, Artificial Intelligence, and data examination. Work forms are made by interfacing predefined or customer organized parts called widgets. They read the data, process it, envision it, and do gathering, collect prescient models, and so on. Towards the start of December 2019, an erupt of coronavirus contamination 2019 (COVID-19), brought by a new critical intense respiratory issue coronavirus 2 transpired in Wuhan City, Hubei Province, China. On January 30, 2020 the World Health Organization announced the scene as a Public Health Emergency of international Concern. Several episodes forecast models for COVID-19 are being utilized by authorities internationally to settle on instructed decisions and authorize applicable precaution measures. Amidst the standard models for COVID-19 worldwide pandemic expectation, basic epidemiological and authentic models have gotten more consideration by specialists, and they are notable in the media. In this paper, we have taken COVID-19 dataset (downloaded June 2020) from Kaggle, related to India, and with the help of ORANGE tool we have visually represented to understand how certain relations can be depicted. © 2021 IEEE.

关键词： COVID-19

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