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Special software application for antenna modelling in mechanical engineering 2

Special software application for antenna modelling in mechan...

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2nd international Scientific conference on Metrological Support of Innovative Technologies, ICMSIT II-2021

作者： Amosov, A.G. Moscow Aviation Institute National Research University 4 Volokolamskoe Highway Moscow125993 Russia

The article is devoted to one of the best today computer program for antenna modelling. No special computer simulation skills are required to use this software. In this study, based on foreign and domestic sources, the influence of the MMANA-GAL program on the design of various types of civil antennas is considered. The paper specifically describes this simulation program. The description includes its history of creation, application, comparison with previous programs and algorithms, the interface of the MMANA-GAL itself is also described. It tells about how useful this program is, how it simplifies life and saves time for developers and designers, since the built-in library contains examples of more than two hundred antennas. Standing out advantages are: its free-of-charge basis, and from the operational characteristics - display of 2D and 3D antenna radiation patterns and its frequency response. © Published under licence by IOP Publishing Ltd.

关键词： Antennas

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2nd international Symposium on simulation and process modelling, ISSPM 2020

2nd International Symposium on Simulation and Process Modell...

引用

2nd international Symposium on simulation and process modelling, ISSPM 2020

ISBN: (纸本)9789813345744

The proceedings contain 46 papers. The special focus in this conference is on simulation and process modelling. The topics include: Numerical simulation of Welding Quality of Reinforcement Framework Under Different Welding Sequence;theoretical Study and Experimental Test on Solenoid Actuator of Active Control Mount;research on the Problems and Countermeasures of Sustainable Development of Green Building Economy in China;research on the Balance of Automobile Mixed-Flow Assembly Line;research on Scheduling Method for Uncertainty of Hit Rate of Molten Steel Based on Q Learning;Research on Obstacle Factors of Project Operation and Maintenance Based on BIM Technology;simulation of Shenyang Pork Supply Chain System Based on System Dynamics Model;experimental Study on Grinding Surface Roughness of Full-Ceramic Bearing Ring;Research on Traffic Impact Assessment of Project Under Construction Based on TransCAD;research on the Numerical Representation of Stock Linkage Prediction;research on Influencing Factors of Combined Transportation System Based on Analytic Hierarchy process;simulation on Two Types of Improved Displaced Left-Turn Intersections Based on VISSIM;simulation and Optimization of Multi-UAV Route Planning Based on Hybrid Particle Swarm Optimization;simulation Research of Arctic Route and Traditional Route Based on the Logit Model;airport Taxi Driver Decision and Ride Area Scheme Design Based on Hybrid Strategy;dynamic Route Optimization Problem Based on Variable Range Short-Term Traffic Flow Forecast;GAPSO-Based Traffic Signal Control in Isolated Intersection with Multiple Objectives;multi-objective Optimization of Traffic Signal Systems on Urban Arterial Roads;study on Traffic Volume Transferred by Bohai Strait Tunnel.

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simulation based vehicle movement tracking using Kalman Filter algorithm for Autonomous vehicles 2

Simulation based vehicle movement tracking using Kalman Filt...

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2nd international conference on Intelligent Engineering and Management, ICIEM 2021

作者： Rana, Kritika Kaur, Parampreet Lovely Professional University School of Computer Science and Engineering Punjab Phagwara India

ISBN: (纸本)9781665414500

In the domain of Software automotive industry, one of the most widely used algorithms for performing analysis of driving operations is the Kalman filter algorithm. In today's world of advanced machine learning, the Kalman filter remains an important tool to fuse measurements from several sensors to estimate the real time state of robotics systems such as a self-driving vehicle. Kalman filter is able to update an estimate of evolving nature of continuously changing states of the common filters to take a probabilistic estimate. The driving scenario results are updated in real time using 2-steps update and correction method. In this paper, we have described the process of Kalman filter and its variant to estimate about the detection of moving object in a given traffic scenario using advance toolboxes of MATLAB. Results have been shown for multiple changing parameters. © 2021 IEEE.

关键词： Kalman filters

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Location-Based modelling and Analysis of Threats by Using Text Mining 2

Location-Based Modelling and Analysis of Threats by Using Te...

引用

2nd international conference on Electronics and Sustainable Communication Systems, ICESC 2021

作者： Degadwala, Sheshang Vyas, Dhairya Hossain, Md Riyad DIder, Abu Raihan Ali, Mohamed Nur Kuri, Promise Sigma Institute of Engineering Gujarat Vadodara India Shree Drashti Infotech LLP Gujarat Vadodara India University of Creative Technology CSE Department India Electrical Engineering Gujarat Technological University India Gujarat Technological University Civil and Infrastructure Engineering India Gujarat Technological University Computer Engineering India

ISBN: (纸本)9781665428675

Location-Based modelling and Analysis of Threats By Using Text Mining is process of analysis of threat and criminal behavior and help to the police to find the location of the criminal activities using some text mining techniques and machine learning algorithms. Now, in digital world, computer crime such as identity threat, cybercrime, terrorist attack, rap, kidnaping, robbery has increase because of increase a digitalization has become a significant issue for police and law enforcement agencies Many identities threat occurs through social media and that's way crime are increases. This study helps to detect the all-criminal behavior-based activity and post on social media using different techniques and construct pattern sets based on domain knowledge from social media reports or newspapers and relevant literatures. In addition, our research include previous years crime activity is use for our model to train and that data is pre-process using tokenization for meaningful data. Some techniques such as feature extraction include emoticons and synonyms, while in classification Extra tree Classifier for analyses the criminal behavior from social media. © 2021 IEEE.

关键词： Feature extraction

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8th Workshop on Software Architecture Erosion and Architectural Consistency, SAEroCon 2021, 1st international Workshop on Software Architecture and Machine Learning, SAML 2021, 4th international Workshop on Context-aware, Autonomous and Smart Architecture, CASA 2021, 5th Workshop on Formal Approaches for Advanced Computing Systems, FAACS 2021, 2nd international Workshop on Model-Driven Engineering for Software Architecture, MDE4SA 2021 and 1st international Workshop on Mining Software Repositories for Software Architecture, MSR4SA 2021 which complemented 15th European conference on Software Architecture, ECSA 2021

8th Workshop on Software Architecture Erosion and Architectu...

引用

8th Workshop on Software Architecture Erosion and Architectural Consistency, SAEroCon 2021, 1st international Workshop on Software Architecture and Machine Learning, SAML 2021, 4th international Workshop on Context-aware, Autonomous and Smart Architecture, CASA 2021, 5th Workshop on Formal Approaches for Advanced Computing Systems, FAACS 2021, 2nd international Workshop on Model-Driven Engineering for Software Architecture, MDE4SA 2021 and 1st international Workshop on Mining Software Repositories for Software Architecture, MSR4SA 2021 which complemented 15th European conference on Software Architecture, ECSA 2021

ISBN: (纸本)9783031151156

The proceedings contain 15 papers presendted at a virtual meeting. The special focus in this conference is on Software Architecture Erosion and Architectural Consistency. The topics include: Interactive Elicitation of Resilience Scenarios Based on Hazard Analysis Techniques;Towards an Extensible Approach for Generative Microservice Development and Deployment Using LEMMA;applying Knowledge-Driven Architecture Composition with Gabble;architectural Optimization for Confidentiality Under Structural Uncertainty;foundations and Research Agenda for simulation of Smart Ecosystems Architectures;Blended Graphical and Textual modelling of UML-RT State-Machines: An Industrial Experience;toward Awareness Creation of Common Challenges Women are Facing in Academia: A Study from a German Perspective;mapping Source Code to Modular Architectures Using Keywords;hierarchical Code-to-Architecture Mapping;Building the MSR Tool Kaiaulu: Design Principles and Experiences;self-adaptive Machine Learning Systems: Research Challenges and Opportunities;behavioral Maps: Identifying Architectural Smells in Self-adaptive Systems at Runtime;an Architectural Approach for Enabling and Developing Cooperative Behaviour in Diverse Autonomous Robots.

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Design of a College Student Mental Health Assessment System Based on Improved Apriori Algorithm

Design of a College Student Mental Health Assessment System ...

引用

Image processing and computer Applications (ICIPCA), IEEE international conference on

作者： Lanfang Mao College of Surveying Mapping and Geographic Information Lanzhou University of Resources and Environment Lanzhou Gansu China

ISBN: (数字)9798350360240

ISBN: (纸本)9798350384161

This paper emphasizes the need to design an enhanced Apriori algorithm-based mental health assessment system to address the mental health issues college students face. The article aims to assess the current mental health evaluation systems of college students and develop a framework for a mental health evaluation. It proposes using data mining algorithms, precisely the Apriori algorithm, to analyze and categorize the data. This process ultimately yields intelligent mental health evaluation results. Finally, the mental health astute assessment system's practicality and superiority are examined by targeted simulation tests. The findings demonstrate that the system described in the article effectively addresses the limitations of the existing mental health intelligence evaluation system. It enhances the precision and efficiency of mental health intelligence evaluation while ensuring system stability. Consequently, it satisfactorily fulfills college students' current mental health evaluation needs.

关键词： Databases Image processing Mental health Medical services computer applications Stability analysis Data systems Data mining Faces

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HISAT2 Parallelization Method Based on Spark Cluster 2

HISAT2 Parallelization Method Based on Spark Cluster

引用

2021 2nd international conference on Modeling, Big Data Analytics and simulation, MBDAS 2021

作者： Guo, Jiannan Gao, Jing Liu, Zhenyu College of Computer and Information Engineering Inner Mongolia Agricultural University Inner Mongolia Autonomous Region Hohhot010018 China Inner Mongolia Autonomous Reg. Key Lab. of Big Data Res. and Applic. of Agric. and Animal Husbandry Inner Mongolia Autonomous Region Hohhot 010018 China

Sequence alignment is one of the most important components in the Bioinformatics research field. It is of great significance to discover the functional structure and genetic information of nucleic acids and protein. With the rapid development and gradual maturity of high-throughput sequencing technology, the scale of gene data which have been discovered by that is going to increasingly large. Due to the gene sequence alignment calculation has high complexity and the sequencing gene data has large scale, the process of comparison computing will cause a plenty waste of computing time. HISAT2 is the one of most popular sequence comparison software. HISAT2 has better sensitivity and accuracy than other software, at the same time, the speed of process also has highly improved. According to those reasons, this passage implements the HISAT2 parallelization method based on Apache Spark cluster. Through the comparison experiment between single and cluster machine, the parallelization computing speed of HISAT2 parallelization method based on Spark cluster has increased obviously to 3.69 times, with the high rate of accuracy meanwhile. © Published under licence by IOP Publishing Ltd.

关键词： Big data

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Research on Athlete Scientific Training Management System Based on New computer Artificial Intelligence Technology

Research on Athlete Scientific Training Management System Ba...

引用

Control, Electronics and computer Technology (ICCECT), IEEE international conference on

作者： Yi Hu Jing Liu Wuhan College of Arts & Science Wuhan Hubei China Jose Rizal University Mandaluyong City Philippines Department of Computer Science SUNY New Paltz New York USA

ISBN: (数字)9798350380958

ISBN: (纸本)9798350380965

This paper firstly constructs a scientific and efficient auxiliary method for selecting and training athletes Athlete training expert system. The system collects information such as competition experience and training program obtained by coaches in the actual operation process. And through the integration of these tacit knowledge by computer, this paper is to build the corresponding knowledge base. Through Prolog programming, the functions of knowledge base and inference engine are combined. This paper establishes a professional sports training system with a hybrid program. The color and depth information provided by Kinect can be used to track different types of players in real time. Using standard serial interface, the 3D motion information of the player is imported into the computer, and the 3D spatial coordinates and motion rate are analyzed by dynamic time planning method. In this way, the sports characteristics of each type of players are obtained and the corresponding training programs are formulated accordingly. The effect of this method on improving the exercise ability is verified by the simulation test.

关键词： Training Java Three-dimensional displays Tracking User interfaces Timing Expert systems

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Dynamic double cluster head algorithm in mobile ad-hoc wireless networks 2

Dynamic double cluster head algorithm in mobile ad-hoc wirel...

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

作者： Qi, Xu Zhang, Wenbo Xu, Ziyang Ge, Zhibin School of Information Technology and Engineering Shenyang Ligong University ShenYang China College of Computer Science and Engineering Shandong University of Science and Technology QingDao China

ISBN: (纸本)9783800757398

Aiming at the unreasonable clustering caused by the clustering limitations of the clustering routing algorithm in mobile ad hoc networks, and the low robustness caused by the single cluster head structure, a dynamic dual cluster head clustering algorithm is proposed. Firstly, in view of the defect of low robustness of single cluster head, a double cluster head structure is designed, and the corresponding cluster maintenance mechanism is matched. Secondly, in the case of unreasonable clustering, dynamic clustering is achieved by calculating the difference between clustering and flat network structure. Finally, the process and maintenance mechanism of the algorithm are described in detail. The simulation results show that the proposed algorithm can effectively reduce the delay and increase the robustness. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Mobile ad hoc networks

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A Coil Detachment Protection Method Suitable for Unmanned Aerial Vehicles

A Coil Detachment Protection Method Suitable for Unmanned Ae...

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Image processing and computer Applications (ICIPCA), IEEE international conference on

作者： Quan Liu Heqing Feng Shaonan Chen Jing Xiao Qianyi Chen Electric Power Science Research Institute of Guangxi Power Grid Co. Ltd Nanning China Southern Power Grid Corporation Wireless Power Transmission Joint Laboratory Nanning China

ISBN: (数字)9798350360240

ISBN: (纸本)9798350384161

In order to ensure efficient and stable wireless charging of unmanned aerial vehicles (UAVs) under offset conditions, and timely turn off the power when the UAV coil's leaves the charging area, this paper adopts bottom charging method to charge UAVs wirelessly. A flat solenoid coil structure is designed, which can enable UAVs to charge efficiently and stably even when offset. The secondary side detects whether the UAVs has left the charging area, providing protection for the disconnection process of UAVs Charging. simulation verification show that the maximum power of the system reaches 211W, the energy transmission distance can reach 3cm, the optimal charging efficiency can reach 92%, and the maximum lateral offset is 5cm, which can meet the wireless charging needs of UAVs.

关键词： Coils Energy loss simulation Image processing Inductive charging Voltage Autonomous aerial vehicles Protection Solenoids Monitoring

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