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6th International Conference on Information Technologies in Engineering Education, Inforino 2022

作者： Shvetcov, Anatoliy Gorbunov, Vyacheslav Dianov, Sergey Sukonschikov, Alexey Rapakov, George Kinyakin, Kyril Vologda State University Department of Automation and Computer Engineering Vologda Russia

ISBN: (纸本)9781665405775

This article is devoted to the usage of anthropomorphic robot NAO Evolution in teaching process of bachelors and masters at Automation and Computer Engineering department of Vologda State University. The paper discusses the content and implementation of software system of the dialogue man-robot on natural Russian language using the software package Choreography and dialogue creation tool QIChat. Fragments of software modules that implement the developed features are given. © 2022 IEEE.

关键词： Knowledge engineering software packages software algorithms Natural languages software systems Teamwork Information technology

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Analysis of Extended Kalman Filter for SOC Estimation in Lithium-ion Batteries 2

Analysis of Extended Kalman Filter for SOC Estimation in Lit...

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2nd International Conference on Power, Control and Computing Technologies, ICPC2T 2022

作者： Shiekh, Solihah Sharief Khan, Khuban Lateef Mir, Tabish Nazir Bhat, Abdul Hamid National Institute of Technology Srinagar Department of Electrical Engineering Jammu Kashmir 190006 India

ISBN: (纸本)9781665458580

Battery management system is essential for most electric vehicles (EVs) to ensure the safe operation of the vehicle. State of charge (SOC) estimation plays a vital role in checking and controlling the status of the battery so as to ensure that battery is operating within safe limits. In this paper, different methods of the state of charge estimation have been implemented and based on conclusions drawn extended Kalman filter (EKF) is considered to be the most promising technique to estimate the SOC of a battery under different conditions. EKF is a non-linear observer which is used to remove process and sensor noise, any prior knowledge of initial SOC is redundant. In addition, the robustness of EKF is shown using the chi-squared method. The proposed model is simulated in MATLAB/Simulink software with precise estimated parameters. © 2022 IEEE.

关键词： software algorithms Power control Estimation Observers Mathematical models software Robustness

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Recommendation Algorithm based on Relative Features 5

Recommendation Algorithm based on Relative Features

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5th International Conference on Advanced Electronic Materials, Computers and software Engineering, AEMCSE 2022

作者： Wang, Xuan Zhu, Cui Zhu, Wenjun Xue, Bingxin Beijing University of Technology Faculty of Information Technology Chaoyang District Beijing China

ISBN: (数字)9781665484749

ISBN: (纸本)9781665484749

Ratings and reviews on e-commerce platforms often contain a lot of useful information. In recent years, researchers aim to mine more information from ratings and reviews to improve recommendation performance. However, researchers have not fully considered the effect of mining the relationship between comments on feature representation. On the basis of previous research, this paper proposes a deep recommendation model based on relative features. We mine the relative attention between comments, calculate the relative features of users and products based on the attention, and use the relative features to complete recommendation. Experiments show that the effect of the model proposed in this paper is better than the previous models. © 2022 IEEE.

关键词： Computers Computational modeling software algorithms Prediction algorithms Electronic commerce software engineering

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Survey of the Security algorithms over Cloud Environment to Protect Information 10

Survey of the Security Algorithms over Cloud Environment to ...

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10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing, ICETET-SIP-22 2022

作者： Nema, Rajneesh Kumar Saxena, Aumreesh Kumar Srivastava, Rajiv SRK University Bhopal India SIRT Bhopal India

ISBN: (纸本)9781665467414

Well suited data protection has emerged as a critical trouble for data generation. In cloud it is in particular essential due to the fact the information is saved in one of a kind place around the cloud arena. Records safety and protection are two significant aspects of user attention in cloud era, although various Techniques-algorithms have been evolved in unique cloud environments like banking, schooling, real market and many others. Information safety and privacy safety troubles are critical to our challenge for every computer and software within the cloud structure. This paper is the studies of simple cloud structure and protection troubles in cloud;additionally taken a look at various cryptography algorithms for data protection and displaying the overall performance among them over cloud platform. Presented study shows the significance of the security algorithm that can be used to enhance data protection. © 2022 IEEE.

关键词： Cloud computing Privacy software algorithms Data protection software Safety Security

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Presenting method to schedule tasks in the cloud computing environment using the whale optimization algorithm 27

Presenting method to schedule tasks in the cloud computing e...

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27th International Computer Conference, Computer Society of Iran, CSICC 2022

作者： Dinani, Armin Tavakoli Mirabi, Meqdad Khademi, Maryam Islamic Azad University Electronic Campus Computer Engineering In Software Tehran Iran Islamic Azad University South Tehran Branch Tehran Iran Islamic Azad University South Tehran Branch Applied Mathematics Tehran Iran

ISBN: (纸本)9781665480277

Cloud computing, the distributed computing template, is a model for providing easy access based on the user demand through changeable and configurable computing resources with the slightest need to manage the help of a heterogeneous computing system in its geographically distributed form for sharing. Task scheduling in different heterogeneous physical machines and also efficient scheduling of tasks from a program in the available resources are the key factors in achieving the high performance. The main problem of task scheduling involves assigning the functions of a program to the appropriate processors and arranging work functions in each resource. One of the crucial challenges with a significant impact on the performance of such systems is the optimal scheduling. For the purpose of study, the whale optimization algorithm for a high-performance optimal scheduling was studied in different heterogeneous environments. This meta-heuristic algorithm can find the optimal answer with great accuracy while taking advantage of the relationships between the whales. To reduce time, both the total execution time and also the maximum execution time of every task were minimized. Through this, the highest level of time consumption for the task execution would be reduced. The results show that for a large set of functions (400 and more), the total time obtained is much less than the time for the base study. As a result, for the set of1000 functions, the given improvements through the suggested method is 24.26 in the best case and 24.85 in the average mode. © 2022 IEEE.

关键词： Cloud computing Processor scheduling software algorithms Whales Optimal scheduling Heterogeneous networks software

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Meta-Heuristics for Solving the software Component Allocation Problem

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IEEE ACCESS 2020年 8卷 153067-153076页

作者： Al-Azzoni, Issam Iqbal, Saqib Al Ain Univ Dept Software Engn & Comp Sci Al Ain 64141 U Arab Emirates

The software component allocation problem is concerned with mapping a set of software components to the computational units available in a heterogeneous computing system while maximizing a certain objective function. This problem is important in the domain of component-based software engineering, and solving it is not a trivial task. In this paper, we demonstrate a software framework for defining and solving component allocation problem instances. In addition, we implement two meta-heuristics for solving the problem. The experiments show that these meta-heuristics achieve good performance. The framework is designed to be extensible and therefore other researchers can conveniently use it to implement new meta-heuristics for solving the software component allocation problem.

关键词： Resource management software Optimization Genetic algorithms software algorithms Computational modeling Tools Component allocation model-driven engineering embedded systems heterogeneous systems genetic algorithms ant colony optimization

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Research on Obstacle Avoidance Trajectory for Robots Based on RRT Algorithm

Research on Obstacle Avoidance Trajectory for Robots Based o...

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Robotics, Control and Automation (ICRCA), International Conference on

作者： Jiaran Wang Pengfei Sun Rao Yao Dazhong Wang School of Mechanical and Automotive Engineering Shanghai University of Engineering Science Shanghai China

ISBN: (数字)9798331544577

ISBN: (纸本)9798331544584

Aerospace engine blade remanufacturing technology requires intelligent adaptive techniques for support. Due to the complexity of the operating environment and the demand for intelligence, in order to maximize machining efficiency, avoid collisions, and adapt to different blade shapes and sizes, as well as to enhance production flexibility, research emphasis should be placed on path planning. Through robotic path planning, it is possible to effectively optimize the machining path, reduce the movement time of the robot during the machining process, improve machining efficiency, and reduce the machining cycle. This paper first introduces the traditional rapidly exploring random tree (RRT) algorithm and the RRT* algorithm, and proposes an improved RRT* algorithm to address the shortcomings of these two algorithms. It first introduces the improved RRT* algorithm and proposes three improvement strategies. Then, it conducts simulations in two-dimensional space and validates its effectiveness in two map environments. Finally, the paper models a robotic arm on the MATLAB software platform, simulates the path smoothing planning of the robotic arm, thereby verifying the feasibility and superiority of the algorithm.

关键词： Smoothing methods Shape Blades software algorithms Machining Manipulators software Trajectory MATLAB Collision avoidance

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Formation Navigation and Positioning of Quadrotor UAV Based on Multi-Source Information Fusion Improved RRT* Algorithm

Formation Navigation and Positioning of Quadrotor UAV Based ...

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Sensors and Information Technology (ICSI), International Conference on

作者： Qihao Gong Tao Deng School of Aeronautics Chongqing Jiaotong University Chongqing China Chongqing Key Laboratory of Green Aviation Energy and Power Chongqing China The Green Aerotechnics Research Institute of Chongqing Jiaotong University Chongqing China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

This paper analyzes the traditional RRT* algorithm. Considering the performance constraints of quadrotor unmanned aerial vehicles (UAVs) and the limitations of the RRT* algorithm itself, the traditional RRT* algorithm is improved. Secondly, for the multi-source information fusion algorithm, a federated Kalman filter is adopted to fuse the data from multiple sensors. To address the limitation of the single reference system in the federated Kalman filter, the path points planned by the improved RRT* algorithm are used as the main reference information input, and combined with the inertial navigation system (INS) of the sub-reference system to form a two-layer reference system, which is then input into the federated Kalman filter. Finally, the effectiveness of the designed algorithm is verified in the simulation software.

关键词： software algorithms Radar Vision sensors Sensor fusion Position measurement Autonomous aerial vehicles software Sensor systems Kalman filters Quadrotors

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Research on the Security Assessment Method for Mimetic Multivariate Systems Based on Multi-Granularity Features

Research on the Security Assessment Method for Mimetic Multi...

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Consumer Electronics and Computer Engineering (ICCECE), 2021 IEEE International Conference on

作者： Junwei Wang Qinglei Zhou Liming Zhang Shiliang Yu School of Cyber Science and Engineering Zhengzhou University Zhengzhou China Songshan Laboratory Zhengzhou China School of Computer Science and Artificial Intelligence Zhengzhou University Zhengzhou China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

Aiming at the current status quo that the security assessment of mimetic multivariate systems generally adopts a single level of assessment, which is unable to establish a security link between its internal software diversity and the overall security of mimetic multivariate systems, this paper proposes an assessment mechanism that combines two assessment methods, namely, software diversity metrics under multi-granularity characterization and risk assessment of vulnerability attacking system modeling. The experimental part of the dataset uses the GNU core toolset (coreutils 8.32), and the validity of this assessment method is verified by designing a security assessment algorithm that weights and scores the heterogeneity of the multi-granularity software diversity technique, and then by modeling an attack on the mimetic multi-variant system experiment. The experimental results show that the security assessment algorithm can effectively assess the anti-attack ability and security of the mimetic multivariate system under the multi-granularity feature, which has certain reference value for the future research on the security assessment method of the mimetic multivariate system.

关键词： Measurement software algorithms Systems modeling Diversity methods software Security Risk management Computer security Consumer electronics

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A generative model for synchrophasor network traffic in smart grids

A generative model for synchrophasor network traffic in smar...

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Annual Conference on Information Sciences and Systems (CISS)

作者： Leo Kosta Aaron St. Leger Department of Electrical Engineering and Computer Science United States Military Academy NY

ISBN: (数字)9798331513269

ISBN: (纸本)9798331513276

Smart grid technologies can revolutionize power distribution. However, engineers can’t write the software to realize this goal without large, publicly available datasets. Power companies are reluctant to share the data they collect because of consumer privacy concerns and concerns that they will expose themselves as targets of cyber attacks. We introduce a generative model for one of the most common types of smart grid data: synchrophasor network traffic. Our model can generate an unlimited amount of smart grid data while mitigating risks associated with exposing consumer and network information. Engineers can use our model to prototype smart grid software such as anomaly detection and state estimation.

关键词： Temperature software algorithms Telecommunication traffic Companies Phasor measurement units Data models Smart grids State estimation software tools Anomaly detection

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