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2nd international conference on Intelligent Technologies and Applications, INTAP 2019

2nd International Conference on Intelligent Technologies and...

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2nd international conference on Intelligent Technologies and Applications, INTAP 2019

ISBN: (纸本)9789811552311

The proceedings contain 67 papers. The special focus in this conference is on Intelligent Technologies and Applications. The topics include: Optimization of Bug Reporting System (BRS): Artificial Intelligence Based Method to Handle Duplicate Bug Report;a Review of Star Schema and Snowflakes Schema;A Region-Based and a Unified Team’s Strength in the Game of Cricket Using Principal Component Analysis (PCA);a Unit Softmax with Laplacian Smoothing Stochastic Gradient Descent for Deep Convolutional Neural Networks;scientific Map Creator: A Tool to Analyze the Author’s Affiliation and Citations by Producing Mind Maps;prediction and Analysis of Sun Shower Using Machine Learning;electroencephalography Based Machine Learning Framework for Anxiety Classification;a Doctor Recommendation System Using Patient’s Satisfaction Analysis;analysis of White Blood Cells Using Hematology Counts;fireNot - An IoT Based Fire Alerting System: Design and Implementation;high Performance simulation of Blood Flow Pattern and Transportation of Magnetic Nanoparticles in Capillaries;To Explore the Factors that Affect Behavior of Employee Regarding Knowledge Sharing in IT Service Companies;decision Support System for Dental Clinics: A Systematic Literature Review Protocol;comparison of Localization Algorithms for Unmanned Aerial Vehicles;metaheuristic Algorithms in Industrial process Optimisation: Performance, Comparison and Recommendations;sentimental Content Analysis and Prediction of Text;an Analysis of Depression Detection Techniques from Online Social Networks;classification of Social Media Users Based on Disagreement and Stance Analysis;a Framework to Strengthen up Business Interests in Students by Using Matrix Factorization on Web Log;an Approach to Map Geography Mark-up Language Data to Resource Description Framework Schema.

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Numerical simulation of typhoon storm surge in wenzhou coastal areas 2

Numerical simulation of typhoon storm surge in wenzhou coast...

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2020 2nd international conference on computer Modeling, simulation and Algorithm, CMSA 2020

作者： Tian, Chunhe Tianjin Research Institute for Water Transport Engineering Tianjin300456 China Hydrographic Survey Brigade Tianjin Maritime Safety Administration Tianjin300221 China

Focusing on the numerical simulation of storm surge in the coastal waters of Wenzhou, this paper uses the atmospheric Mesoscale Model5 (MM5) model to provide the wind field of typhoons, and the advanced circulation (ADCIRC) model for oceanic, coastal, and estuarine waters to simulate the process of storm surges, which adopts the finite element method with a dry-wet grid. The simulated results agree well with the observed data from marine observation stations (Longwan, Aojiang, Ruian), indicating that the simulation of storm surge is accurate. The good agreement between the simulated and observed results of four typhoons (Nos. 200216, 200414, 200509, 200608) shows that the combination of the two numerical models has the capacity to calculate storm surge elevations along the coast of Wenzhou. Using this method to simulate the 23 typhoon storm surge processes of the Wenzhou sea area of the last 23 years, we find that the majority of storm surge is between 0.5 to 2.5 m, and about one-fifth have an extreme value of more than 2 m. The maximum storm surge value recorded in Wenzhou coastal waters is 3.02 m, which occurred during Typhoon Wipha (No. 200713) at 03:00 on September 19, 2007 when landed. Water decreasing processes occurred 10 h after the main water increasing process with the maximum negative storm surge of -0.5 m. This paper can be used as a reference for storm surge forecasting, coastal engineering design and damage minimization in the future. © 2020 Institute of Physics Publishing. All rights reserved.

关键词： Storms

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Accurate ECG Data Generation with a Simple Generative Adversarial Network 2

Accurate ECG Data Generation with a Simple Generative Advers...

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2nd international conference on Artificial Intelligence and computer Science, AICS 2020

作者： Wang, Haiyan Ge, Zhaoyang Wang, Zongmin Collaborative Innovation Centre for Internet Healthcare Zhengzhou University 75 Daxue Road Zhengzhou450052 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450003 China Simulation Experiment Centre Zhengzhou University of Aeronautics Zhengzhou450046 China School of Information Engineering Zhengzhou University Zhengzhou450001 China

Since ECG data is highly sensitive medical data, the acquisition of ECG data is highly restricted. However, with the increasing demand for ECG big data research, the improvement of computer computing capabilities, and the development of deep learning, the direction of ECG intelligent analysis is facing a serious lack of standard clinical data. In order to generate more precise ECG data, this paper proposes a GAN architecture for generating ECG heartbeat data. The network structure is simple and does not require any domain knowledge. In this paper, the MIT-BIH Arrhythmia database is selected, from which all left bundle branch block heartbeats are selected to form a training dataset. The training process shows that the proposed GAN structure is effective and accurate, and the generated results show that not only the generated simulated ECG heartbeat data is diverse, but also highly similar to the real data. © Published under licence by IOP Publishing Ltd.

关键词： Electrocardiograms

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Detection of routing infrastructure attack in TCP connection 2nd

Detection of routing infrastructure attack in TCP connection

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2nd international conference on Computational Intelligence, Security and Internet of Things, ICCISIoT 2019

作者： Chanu, Asem Debala Sharma, Bobby Department of Computer Science and Engineering School of Technology Assam Don Bosco University GuwahatiAssam India

ISBN: (纸本)9789811536656

From the last few years, routing infrastructure attacks like Distributed Denial of Service Attack (DDoS) and Denial of Service (DoS) Attack have been the most trending topic in the domain of Network security. And these days most of the people prefer online payment, online shopping, online class etc. So the attackers tries to flood the router during this time. And We are focusing on Distributed Denial of Service Attack. In this paper, it implement a method to detect (DDoS) Distributed Denial of Service Attack in router by using Ns3 simulator. For this simulation we used unbalanced dumbbell topology. And the process of imposing attack scenario in dumbbell topology is defined in section VI. This simulated DDoS attacks are presented in graph by using the proposed algorithm to detect the routing infrastructure attack in the network. © Springer Nature Singapore Pte Ltd 2020.

关键词： Denial-of-service attack

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A Clustering Based Optimized PEGASIS in Wireless Sensor Networks 2nd

A Clustering Based Optimized PEGASIS in Wireless Sensor Netw...

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2nd international conference on Futuristic Trends in Networks and Computing Technologiess, FTNCT 2019

作者： Singh, Samayveer Singh, Pradeep Kumar Department of Computer Science and Engineering Dr B R Ambedkar National Institute of Technology JalandharPunjab India Jaypee University of Information Technology WaknaghatHP India

ISBN: (纸本)9789811544507

The wireless sensor network (WSN) is an evolving technology where clustering performs an imperative part in effective utilization of energy dissipation of its batteries for monitoring the physical world. The batteries indicate the effectiveness of the deployed networks in terms of their lifespan. Generally, most of energy of sensors is consumed in the communication process between the sensor nodes and sink. Thus, a effective mechanism is required for balancing the communication load among the sensor. In this work, we propose an optimize PEGASIS protocol for enhancing the lifespan of homogeneous and heterogeneous networks. In the optimization of PEGASIS protocol, a fuzzy system is considered for selecting the cluster head (CH) along with data aggregation and data collection using chain-based process. It considers three parameters for effective clustering namely sensor node residual energy, cluster density, and, sensor and base station distance. The proposed method deliberates a chain based process for efficient data communication within the cluster and outside the cluster. It also introduces a data gathering process which remove the redundancy of the data. The removal of redundancy of the data helps in saving the energy and also decrease the network overheads. The performance of the proposed optimized PEGASIS protocol investigated by using MATLAB and deliberate the simulation matric parameters namely: alive and dead nodes, throughput, and energy consumption. The simulation outcomes of the proposed optimized PEGASIS protocol outperforms than the other existing protocol. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Energy efficiency

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PARTICLE SCALE NUMERICAL modelling OF HEAT TRANSFER And MELT POOL DYNAMICS IN SELECTIVE LASER MELTING 2

PARTICLE SCALE NUMERICAL MODELLING OF HEAT TRANSFER AND MELT...

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2nd international conference on simulation for Additive Manufacturing (Sim-AM)

作者： Li, Erlei Zou, Ruiping Yu, Aibing Zhou, Zongyan Monash Univ Dept Chem Engn ARC Res Hub Computat Particle Technol Clayton Vic 3800 Australia

ISBN: (纸本)9788494919480

Selective laser melting (SLM), with the advantages in producing complex geometry, is becoming one of the most promising additive manufacturing (AM) technologies [1]. In order to understand the multiple physical phenomena which is crucial for successful manufacturing during SLM process, different computational models that are less expensive but challenging compared with experiments and real-time monitor technologies have been developed in the past years. In order to investigate particle scale thermal-physical phenomena in SLM process, a three-dimensional model considering Fresnel reflection is developed to and the volume of fluid approach is used to track melting and solidification phenomena. Numerical results show that the melt track is broken into several regions to minimize surface energy because of surface tension. The molten liquid tends to flow outwards from the laser spot caused by Marangoni effects. The solidified surface of multiple particle diameter powders is much rougher compared with powder bed with layer thickness of one particle diameter. The developed model provides a comprehensive understanding about physical phenomena during SLM process.

关键词： Selective Laser Melting Additive Manufacturing Powder Scale modelling thermal Multiphase Flow and Solidification Fresnel Reflection

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Design and application of virtual training system for computer hardware assembly 20

Design and application of virtual training system for comput...

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2nd World Symposium on Software Engineering, WSSE 2020

作者： Tong, Yanping Xie, Fu Zheng, Xiangwei Wei, Yi School of Information Science and Engineering Shandong Normal University Jinan250014 China

ISBN: (纸本)9781450387873

Virtual reality technology is a research focus today, and has been applied to education, entertainment and many other fields. computer hardware assembly is a course that teaches students how to recognize and assemble a computer. However, traditional teaching model has a series of problems, such as the slow update of computer training equipment, serious hardware waste and danger of assembly experiment process. In order to solve these problems, we designed and developed a virtual training system for computer hardware assembly (VTSCHA) based on the Unity3D platform. In the design stage, we fully considered the needs of the course and proposed a complete system architecture. Then through the study of Playmaker visual programming plug-in, animation and UI system, we respectively realized the parts display, computer assembly demonstration and computer simulation operation function, and finally completed the system. Practical results show that using VTSCHA can achieve a good teaching effect in the classroom. This system has good three-dimensional display and interactive functions. Learners can easily get started and operate in the virtual environment. © 2020 ACM.

关键词： E-learning

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Adaptive trajectory tracking sliding mode control for agricultural tracked robot considering parameter uncertainty

Adaptive trajectory tracking sliding mode control for agricu...

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The 2nd international conference on Distributed Sensing and Intelligent Systems (ICDSIS 2021)

作者： J. Jiao F. Zhang D. Liu R. Shao B. Li J. Mu J. Zhao L. Tao L. Gu College of Information and Computer Anhui Agricultural University 230061 Hefei China JingHuimeng Agricultural Technology Development Co. Ltd 233500 Bozhou China

The trajectory tracking process of the robot is easily affected by the smoothness of the ground, the external uncertainty interference, the integrity of feedback information and other factors, which lead to the degradation of the trajectory tracking performance of the mobile robot. In order to improve the performance of tracking control of agricultural tracked robot, this paper takes tracked robot as the research object, and presents an adaptive sliding mode control. The main research contents are as follows: Based on the consideration of the kinematics model of the tracked robot and the dynamic characteristics of the motor drive model, an adaptive integral sliding mode switching function with variable tilt parameters is constructed. Based on the established sliding mode function, an adaptive sliding mode control composed of equivalent control and switching control was designed. The pose error of the robot and the time-varying uncertain parameters of the drive motor identified online were fed back into the controller, and the expected angular velocity of the left and right wheel drive motor was calculated to control the running of the tracked robot. simulation results verified the effectiveness of the proposed method, and field test results showed that when the robot was running at the speeds of 1 m/s, 3 m/s, and 4 m/s, the distance error in the movement direction, the lateral distance error, and the heading angle error were -0.04m-0.04m, -0.09m-0.07m and -0.03-0.05rad. Therefore, the robot adaptive sliding mode control had good control accuracy and could meet the requirements of actual field operations. 1

关键词： adaptive control agricultural robots agriculture angular velocity control control system synthesis machine control mobile robots motor drives robot kinematics switching systems (control) tracking trajectory control uncertain systems variable structure systems

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5th international Workshop on Security of Industrial Control Systems and Cyber-Physical Systems, CyberICPS 2019, the 3rd international Workshop on Security and Privacy Requirements Engineering, SECPRE 2019, the 1st international Workshop on Security, Privacy, Organizations, and Systems Engineering, SPOSE 2019, and the 2nd international Workshop on Attacks and Defenses for Internet-of-Things, ADIoT 2019, held in conjunction with the 24th European Symposium on Research in computer Security, ESORICS 2019

5th International Workshop on Security of Industrial Control...

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5th international Workshop on Security of Industrial Control Systems and Cyber-Physical Systems, CyberICPS 2019, the 3rd international Workshop on Security and Privacy Requirements Engineering, SECPRE 2019, the 1st international Workshop on Security, Privacy, Organizations, and Systems Engineering, SPOSE 2019, and the 2nd international Workshop on Attacks and Defenses for Internet-of-Things, ADIoT 2019, held in conjunction with the 24th European Symposium on Research in computer Security, ESORICS 2019

ISBN: (纸本)9783030420475

The proceedings contain 27 papers. The special focus in this conference is on Security of Industrial Control Systems and Cyber-Physical Systems. The topics include: ADIoT 2019 preface;anomaly detection for industrial control systems using sequence-to-sequence neural networks;a conceptual redesign of a modelling language for cyber resiliency of healthcare systems;shaping digital identities in social networks: Data elements and the role of privacy concerns;GDPR compliance: Proposed technical and organizational measures for cloud providers;on the applicability of security and privacy threat modeling for blockchain applications;privacy, security, legal and technology acceptance requirements for a gdpr compliance platform;uncertainty-aware authentication model for IoT;From ISO/IEC 27002:2013 information security controls to personal data protection controls: Guidelines for GDPR compliance;on the trade-off between privacy and utility in mobile services: A qualitative study;analysis of automation potentials in privacy impact assessment processes;an insight into decisive factors in cloud provider selection with a focus on security;reflective attenuation of cyber-physical attacks;discrete event simulation of jail operations in pursuit of organizational culture change;a basic theory of lightweight hierarchical key predistribution scheme;adversarial examples for hardware-trojan detection at gate-level netlists;selective forwarding attack on IoT home security kits;Denial-of-service attacks and countermeasures in the RPL-based internet of things;Study of DNS rebinding attacks on smart home devices;Anomaly detection in the HVAC system operation by a radviz based visualization-driven approach;secure location verification: Why you want your verifiers to be mobile;Distributed UCON in CoAP and MQTT protocols.

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3D Printed Patient Specific Models from Medical Imaging - A General Workflow 2

3D Printed Patient Specific Models from Medical Imaging - A ...

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2nd international conference on Materials Manufacturing and modelling (ICMMM)

作者： Ravi, T. Ranganathan, Rajesh Pugalendhi, Arivazhagan Arumugam, Sivasankar Coimbatore Inst Technol Dept Mech Engn Coimbatore 641014 Tamil Nadu India

Scanning Technologies such as the computer Topography (CT) or Magnetic Resonance Imaging (MRI) gather three-dimensional data (3D) that can be viewed on 2D Screens. However, actual 3D models allow a better interaction with real objects. Developments in image partition algorithms and improved accessibility of three-dimensional (3D) printers has resulted in manufacturing cost effective patient-specific models without proficient knowledge. In this paper, a general workflow is executed to transform the medical image such as computer Tomography (CT) to 3D printable physical model. The process is split into four stages: image acquisition, image partition, mesh adjustment and 3D printing. The efficacy of this streamlined workflow has been demonstrated by producing heart, kidneys, liver and lungs using Stratasys Object260 Connex 3D printer. This paper concludes with a general method to convert a medical image to 3D printable solid model and it works for the extensive array of organs and anatomical regions of interest. Also provided an outline of open-source software's which can be used for medical image partition by end users who are not specialized in image processing. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： Additive Manufacturing computer Topography (CT) Magnetic Resonance Imaging (MRI) 3D printing

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