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2nd international conference on Computing Science, Communication and Security, COMS2 2021

2nd International Conference on Computing Science, Communica...

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2nd international conference on Computing Science, Communication and Security, COMS2 2021

ISBN: (纸本)9783030767754

The proceedings contain 20 papers. The special focus in this conference is on Computing Science, Communication and Security. The topics include: Sentiment Analysis of Bangla Language Using Deep Learning Approaches;bit Error Rate Analysis of Optical Switch Buffer in Presence of Dispersion and Optical Amplifier Noise;experimenting with Scalability of Software Defined Networks Using Pyretic and Frenetic;design and Implementation of Lightweight Dynamic Elliptic Curve Cryptography Using Schoof’s Algorithm;QRP: QPSO Based Routing Protocol for Energy Efficiency in Wireless Body Area Networks;investigation of Alibaba Cloud Data Set for Resource Management in Cloud Computing;A Hybrid Approach Based on ACO and Firefly Algorithm for Routing in FANETs;RC-Security Mechanism to Prevent Attacks on IoT Smart Switch;identifying the Impacts of Node Mobility on Network Layer Based Active and Passive Attacks in Mobile Ad Hoc Networks: A simulation Perspective;Simulated Analysis of Double-Gate MOSFET and FinFET Structure Using High-k Materials;a Multi Class Classification for Detection of IoT Botnet Malware;Correction to: Rc-security mechanism to prevent attacks on iot smart switch (Computing Science, Communication and Security, CCIS 1416, 10.1007/978-3-030-76776-1_17);DDoS Attack Detection Using Artificial Neural Network;Click Ad Fraud Detection Using XGBoost Gradient Boosting Algorithm;a Natural Language processing Approach to Mine Online Reviews Using Topic modelling;an Implementation and Combining of Hybrid and Content Based and Collaborative Filtering Algorithms for the Higher Performance of Recommended Sytems;Event-Related Potential Classification Based on EEG Data Using xDWAN with MDM and KNN.

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computer System Integration Technology of Hydraulic Engineering Design Based on Machine Learning Algorithm 2

Computer System Integration Technology of Hydraulic Engineer...

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2021 2nd international conference on Applied Physics and Computing, ICAPC 2021

作者： Liu, Ting Yichun Vocational Technology College Yichun336000 China

With the development of water conservancy informatization, the research on water information system integration is born, which is the need of water conservancy informatization construction at present and also an urgent problem to be solved. Based on the machine learning algorithm, combined with the actual needs of water conservancy business field, the overall framework of computer system integration for water conservancy engineering design is put forward. The overall framework includes: resource layer, comprehensive integration layer and user layer, which exchange data with configuration monitoring software by means of communication. The analytic hierarchy process in machine learning algorithm is used to construct the risk prediction index system, and the risk prediction index and initial prediction results are taken as the input and output of extreme learning machine algorithm in machine learning algorithm. The simulation results show that the prediction accuracy of this method is 94.88%, which can accurately predict the risks existing in hydraulic engineering design computer system and improve the system security. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Machine learning

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Cloud-based Decentralized Smart Healthcare for Patient Monitoring on Deep Learning

Cloud-based Decentralized Smart Healthcare for Patient Monit...

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Applied Artificial Intelligence and Computing (ICAAIC), international conference on

作者： Sripriya Arunachalam Shanthi H J G Sivagurunathan Shyamali Das D. Anand Thanga Raj M Computer Applications- PG School of Computing Sciences VELS Institute of Science Technology & Advanced Studies - VISTAS AMET University ECR Kanathur Department of Electronics and Communication Engineering St. Joseph's College of Engineering OMR Chennai Department of Artificial intelligence and Machine learning CMR institute of technology Bengaluru Department of CSE Koneru Lakshmaiah Education Foundation Vaddeswaram AP Persistent Systems Limited Pune

Over the past few years, there has been a meteoric surge in the quantity of digital information available online for instantaneous sharing, persistent archiving, and inquiring. It has expanded the possibilities for using digital data that is both decentralised and ad hoc in order to make decisions quickly. At present, e-Healthcare is among the most sought-after sectors for EHR and telemedicine communication. Securing electronic health records (EHR) has become a topic of intense interest in recent years, with previous works employing a wide range of methods to better ensure the confidentiality and security of EHR at a reasonable price. There are a number of serious problems with the current research, including computational complexity, increased process time, information leakage, vulnerability to various assaults, scalability difficulty, etc. Clinical data analysis presents several difficulties, but disease prediction is one of the most significant ones. The suggested study aims to apply deep learning (DL) classification algorithms for disease prediction. A technique that utilises cloud computing, fog computing, and IoMT more recently has been presented for diagnosing illness. Fast DL classification analysis is performed in the fog layer. When compared to the alternative proposed model Bi-CNN, the healthcare model's efficiency in the Bi-LSTM simulation yields significantly better results: 97.31% of accuracy, 97.58% of recall, 96.90% of precision, 94.90% of F1-measure, 97.25% of specificity, and 94.80% of G-mean.

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Application Research on the Integration of Civil Engineering and computer-aided Building System Based on the Development of BIM 2

Application Research on the Integration of Civil Engineering...

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2nd international conference on Computing and Data Science, CONF-CDS 2021

作者： Liu, Bing College of Intelligent Manufacturing and Automobil Chongqing Vocational College of Transportation Chongqing China

Building informatization and industrialization are mutually advancing in the development process. After BIM technology is widely used in the construction industry, the modeling functions of BIM include standardized components for building building models, "error and leakage collision"inspection, and simulation simulation construction. These functions are in Building industrialization has great advantages in the construction process of prefabricated buildings, especially the standardized design process in the engineering project design stage, which helps to vigorously promote the standardized construction. There is a certain correlation between the improvement of civil engineering construction quality standards and the background of intelligent development. People are more concerned about the quality of engineering projects, and social publicity has been reached for the safety and green environmental protection of buildings. It is imperative to realize technological innovation in civil engineering. The fusion technology of civil engineering technology and computer-aided building system combines building technology, civil engineering technology, control technology, etc. with computer support systems to develop a new type of intelligent building technology. The integration and application of civil engineering and computer-aided building systems are highly valued by the country, which will lead the development direction of the wood construction industry. For colleges and universities, the research and study of the integration and application of civil engineering and computer-aided building systems not only puts forward new requirements for student learning, but also provides new ideas for the direction of employment, and at the same time has a deeper understanding of the relevant research system of universities change. The article mainly explains the working principle of BIM, based on the BIM development background and the integration advantages of civil engineering and

关键词： Intelligent buildings

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Research for aircraft design process optimization based on design structure matrix 2

Research for aircraft design process optimization based on d...

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2nd international Seminar on computer Science and Engineering Technology, SCSET 2020

作者： Jiang, Yueqing Yin, Bo Jia, Dongning School of Information Science and Engineering Ocean University of China Qingdao China Pilot National Laboratory for Marine Science and Technology Qingdao China

The interaction of information during the structural design of aircraft is complex. In order to optimize the design process and improve the efficiency in research and development, this paper performs clustering calculation on the structural design matrix of a certain type of trainer and optimizes it through genetic algorithm. In addition, a specific method for calculating the amount of information through information connection weight is given. The simulation results show that the optimized matrix has strengthened the information interaction within the cluster, reduced the information interaction between clusters, and reduced the frequency of information feedback during the design process, which plays a role in improving the efficiency of research and development. © Published under licence by IOP Publishing Ltd.

关键词： Structural design

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Research on Hybrid Real-Time System Scheduling Algorithm for Multiprocessor Environment 2

Research on Hybrid Real-Time System Scheduling Algorithm for...

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2nd international Seminar on computer Science and Engineering Technology, SCSET 2020

作者： Cai Ren, Pu Cuo Hong, JianChao School of Mathematics and Computer Science Northwest University for Nationalities Lanzhou Gansu730030 China

Firstly, the mixed key system task model of compatible with periodic tasks and sporadic tasks is studied. Based on the model compatible with these two tasks, a semi-divided real-time task scheduling mechanism is proposed. This process also considers the aggressive handling of Low critical task to improve resource utilization. Finally, the relevant program code is designed and developed, and the performance of the proposed algorithm is evaluated by means of simulation and simulation. The correctness of the model and theory is verified, and the theory and protocol design are further improved. © Published under licence by IOP Publishing Ltd.

关键词： Real time systems

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Numerical simulation and experimental study on rotary cold extrusion forming of screw rod 2

Numerical simulation and experimental study on rotary cold e...

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2021 2nd international conference on Mechanical Engineering and Materials, ICMEM 2021

作者： Li, Peiai Wang, Baoyu Wang, Jiapeng School of Mechanical Engineering University of Science and Technology Beijing No.30 Xueyuan Road Haidian District Beijing10083 China

The rotary cold extrusion forming process is a plastic forming process with very low material loss, especially in the production of hollow screw rods with equal wall thickness. In this work, the rotary cold extrusion forming process of a hollow T2 copper screw rod with a wall thickness of 4 mm and solid T2 copper screw rod was verified by experimental method. The finite element simulation software Deform-3D was also used to simulate the rotary cold extrusion forming process of the screw rod. The effects of the die with different heights of the working belt and the different wall thickness of the billet on the eccentricity, extrusion force, and forming torque in the forming process of the screw rod were studied. The results show that it is feasible to process hollow and solid T2 copper screw rods with equal wall thickness by rotary cold extrusion. With the increase of die working belt height, the eccentricity of the screw rod becomes smaller and closer to the ideal eccentricity. With the increase of the wall thickness of the billet, the amplitude fluctuation range of the eccentricity of the screw rod gradually decreases. The higher the height of the die working belt, the greater the extrusion force and torque required in the extrusion process, and the more intense the change of torque. These results also provide theoretical guidance for the production practice and lightweight transformation of the screw pump rotor. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： computer software

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Numerical simulation Study on The Collapse process of A Super High Chimney

Numerical Simulation Study on The Collapse Process of A Supe...

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ICMLCA 2021;2nd international conference on Machine Learning and computer Application

作者： Haixia Duan Lina Bao Zhihua Yuan Shanyujin Lei

In order to make the collapse process of chimney more accurate and avoid safety accidents, ANSYS/LS-DYNA was used to build a three-dimensional finite element model of 150m steel-concrete structure chimney and carry out numerical simulation on the directional overturn process of chimney. Blasting cut length as a variable, and through the equivalent stress, collapse collapse process after the critical pile length and width, capsized in the process of chimney at the top of the node displacement is analyzed, the results show that the numerical analysis will involve the process simulation of the chimney collapsed, according to the numerical simulation results can be optimized blasting parameters design, make the chimney collapse more accurate, it provides reference for blasting scheme design.

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Reinforcement Learning Based Collision Aware AI-Driven Intelligent Robotics Navigation System

Reinforcement Learning Based Collision Aware AI-Driven Intel...

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Innovations in High Speed Communication and Signal processing (IHCSP), international conference on

作者： Aadam Quraishi Mukesh Soni Someet Singh Leeladhar Gudala Navjot Kaur Faheem Ahmad Reegu M.D. Research Intervention Treatment Institute Houston Texas Dr. D. Y. Patil Vidyapeeth Pune Dr. D. Y. Patil School of Science & Technology Pune School of EEE Lovely Professional University Phagwara Punjab India Department of Computer Science and Engineering Valparaiso University India School of CSE Lovely Professional University Phagwara Punjab India Department of Electrical and Electronics Engineering College of Engineering and Computer Science Jazan University Ksa

ISBN: (数字)9798350368949

ISBN: (纸本)9798350368956

Learning-based robot navigation methods suffer from high data dependency and imperfect performance in specific environments, such as inability to walk straight in open spaces and high collision rates in densely cluttered environments. To enhance artificial intelligence (AI) driven robot navigation performance, a reinforcement imitation learning navigation method based on collision prediction is proposed. In the absence of a model, the state space, action space, and reward function required for the Markov decision process (MDP) are established based on the robot's performance. Deep reinforcement learning (DRL) is utilized for training in a simulation environment, enabling the robot to navigate and avoid obstacles in multi-obstacle environments. Expert data is collected and used to continue training the policy using imitation learning methods to address the imperfections of reinforcement learning in both sparse and dense obstacle scenarios. A collision prediction model is designed, combining traditional control with deep learning. Based on the prediction results, the AI driven robot adaptively selects appropriate control strategies in different environments, greatly improving navigation safety. Through experiments, the proposed method's navigation performance and generalization ability are validated in numerous previously unseen scenarios.

关键词： Training Adaptation models Navigation Imitation learning Reinforcement learning Predictive models Robot sensing systems Safety Collision avoidance Artificial intelligence

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computer aided cooling curve analysis (CACCA) of ADC-12 alloy 2nd

Computer aided cooling curve analysis (CACCA) of ADC-12 allo...

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2nd international conference on Smart and Sustainable Developments in Materials, Manufacturing and Energy Engineering (SME)

作者： Anil, Athul, V Vijayan, Vijeesh Sachin, B. Rai, Prithvi Kumar Rao, Muralidhara NMAMIT Dept Mech Engn Nitte 574110 Karkala India NMIT Dept Mech Engn Yelahanka 560064 Bengaluru India

computer aided cooling curve analysis (CACCA) is used for the determination of different characteristics of metals/alloy during solidification process. The recorded temperature data and the alloy characteristics such as solid fraction and latent heat of fusion derived using CACCA, provides an in-depth understanding of the alloy's solidification process and these information can be used as an input to casting simulation processes. Newtonian analysis a mathematical technique commonly used to determine the fraction of solid during solidification and also to fit DBL to the first derivative curve. However, few researchers have further extended this technique to determine diffusivity and enthalpy of the alloys. In this context, the presented paper explores the procedures (both experimental and theoretical) of Newtonian analysis to determine the specific heat of the alloy and also to report the solidification characteristics of ADC 12 alloy. The CACCA indicates that the nucleation of ADC 12 alloy solidifying at a rate of 0.4 degrees C/s will start at 574 degrees C with an undercooling of 46 degrees C and grow at 577 degrees C with a recalescence of 3 degrees C. On the other hand, the specific heat of ADC12 alloy obtained using Newtonian analysis varied between 1025 and 1275 J/Kg-K for temperature range of 600-400 degrees C respectively. (C) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the international conference on Smart and Sustainable Developments in Materials, Manufacturing and Energy Engineering.

关键词： Undercooling Cooling rate Specific heat Enthalpy Fraction solid

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