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检索条件"主题词=software algorithms"

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An Efficient use of Privacy Preserving Resources in IoT based Healthcare

An Efficient use of Privacy Preserving Resources in IoT base...

引用

Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON)

作者： Sarbjeet Singh Dilip Kumar SLIET Longowal India

ISBN: (纸本)9781665426879

The Internet of Things (IoT) era has altered the delivery system in healthcare communication settings. In an IoT-enabled healthcare environment, medical equipment is more susceptible to various security threats than conventional network devices. The current approach protects patient's data only marginally during data transfer and does not prevent multiple attacks. Thus, this article presents an efficient privacy-preserving and public-key authentication scheme centered on access policy secrecy. The IoT sensor devices are then attached to the patients' bodies, and the patients are registered with the appropriate hospital via the hospital's website or mobile application. Following a successful login, sensor readings will be collected and securely transferred to the hospital cloud server through the suggested method. On the other hand, the hospital's comparable doctor may download the patient's information safely and with greater secrecy by employing AP as a cloud service. The experimental results demonstrate that the suggested mechanism outperforms established techniques. Additionally, it is more secure and efficient.

关键词： Cloud computing Biomedical equipment Hospitals software algorithms Authentication Public key software

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Online substation equipment recognition technology

Online substation equipment recognition technology

引用

Emergency Science and Information Technology (ICESIT), IEEE International Conference on

作者： Xilan Zhao Weizhou Wang Meikun Wang Feng Gao Changnian Lin State Grid Gansu Electric Power Company Tianshui Power Supply Company Tianshui Gansu Province China Beijing Kedong Electric Control System Co. Ltd. Beijing China NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing Jiangsu Province China

ISBN: (纸本)9781665435321

Fast and reliable identification on transformer substation devices is the prerequisite for AR system to perform virtual information display and virtual-real fusion. Hence the author proposes to establish a transformer substation equipment recognition model relying on deep-learning technology, and deploy it on edge devices such as AR, etc. Firstly, collect the images and videos of transformer substation devices, obtain the dataset of transformer substation devices, and use the mark labeling software to build the dataset. Secondly, apply the Faster RCNN object identification algorithm to establish the transformer substation devices identification model on the basis of VGG16 convolutional network. Then, improve the precision of the model through data migration model training, parameter optimization, and dataset enhancement methods such as image transformation. Finally, deploy the algorithm to Intel Neural Compute Stick 2, realizing the online identification of major devices in transformer substation such as the main transformer, breaker, voltage transformer, current transformer and control cabinet, and providing basis for the application of AR system on the training, practical inspection, and operation and maintenance.

关键词： Training Performance evaluation Substations Current transformers Target recognition Computational modeling software algorithms

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Genetic algorithms in the Matrix Arrangement of Elements in Blocks on a Crystal Model

Genetic Algorithms in the Matrix Arrangement of Elements in ...

引用

International Seminar on Electron Devices Design and Production (SED)

作者： Vladislav Ivanovich Danilchenko Yevgenia Vladimirovna Danilchenko Viktor Mikhailovich Kureichik postgraduate Federal State-Owned Autonomy Educational Establishment of Higher Vocational Education "Southern Federal University" Taganrog Russia

The article describes the solution to the problem of placing elements in blocks on a crystal model based on a genetic algorithm (GA), which allows creating an algorithmic environment in the field of genetic search for solving the problem of placing elements on a crystal, taking into account the criterion for the maximum number of linear segments. The purpose of this work is to find ways of placing elements in blocks based on a genetic algorithm. The scientific novelty lies in the development of a modified genetic algorithm for computer-aided design of very large-scale integrated circuits, taking into account the criterion for the maximum number of line segments. The problem statement in this work is as follows: to optimize the placement of elements in blocks by using a modified GA taking into account the criterion for the maximum number of line segments. A fundamental difference from the known approaches in the use of new modified genetic structures in computer-aided design, in addition, the paper presents a new method for placing elements on a crystal, based on a modified GA, taking into account the criterion for the maximum number of linear segments. Thus, the problem of creating methods, algorithms and software for automated placement of elements on a chip is currently of particular relevance.

关键词： Seminars Integrated circuits Design automation software algorithms Crystals Production Genetics

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Analysis of the DCS Historical Data for Estimation of Input Signal Significance

Analysis of the DCS Historical Data for Estimation of Input ...

引用

International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Edik K. Arakelyan Mahsud M. Sultanov Ilya A. Boldyrev Yulia A. Gorban Kirill V. Evseev National Research University “MPEI” Moscow Russian Federation Volzhsky branch of National Research University “MPEI” Volzhsky Russian Federation

ISBN: (数字)9781728183985

ISBN: (纸本)9781728183992

The paper is on technological parameters data processing and analysis for further input signal significance estimation. In the paper the data retrieving from distributed control system software and hardware complex historical database is described and the algorithm of data formatting and processing is presented along with the examples. The problem of input signal impact on thermal power plant technical-and-economic indices is addressed in the research. The chosen data analysis tools are described and the plots and diagrams used to illustrate the data are presented. The novel parameter and group of parameters visualization approach is introduced. The possible ways of automating the database interaction and data analysis are proposed.

关键词： Data analysis software algorithms Estimation Distributed databases Data visualization Hardware Power generation

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Safe and Low-Cost Lithium-Ion Battery Management System Developed for Aircraft Applications

Safe and Low-Cost Lithium-Ion Battery Management System Deve...

引用

IEEE National Conference on Aerospace and Electronics (NAECON)

作者： Anthony Frierson Bang-Hung Tsao Max Tsao Justin Chu Hana Tinch Joseph Fellner Luis Hererra University of Dayton Research Institute Dayton OH Air Force Research Laboratory OH45433 University at Buffalo Buffalo NY

ISBN: (纸本)9781665448604

As the world transitions to a more electrical society, the utilization of larger and more powerful battery packs, especially of the lithium-ion cell chemistry, is becoming much more commonplace. For example, recent technological advances in modern aircraft have resulted in complex power systems that require massive electrical power loads for longer periods of operation time. In order to maintain safe operation of these aircraft, the internal battery pack should contain its own active battery management system (BMS). In this paper, optimal methods for development of a safe, low-cost lithium-ion BMS (using the MATLAB & Simulink software) will be outlined. A cell parameter estimation technique will be tested using pulse discharge lab tests in order to improve the dynamic model of the actual battery pack. In addition, Kalman Filtering (KF) algorithms will be compared against traditional coulomb counting in order to more effectively monitor the SOC/SOH of Li-Ion cells in a battery pack.

关键词： Lithium-ion batteries Parameter estimation software packages software algorithms Power system dynamics Aerospace electronics Mathematical models

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Design of electromagnetic situation visualization system

Design of electromagnetic situation visualization system

引用

Intelligent Design (ICID), International Conference on

作者： Haojie Hu Shengliang Fang Space Engineering University Beijing China

ISBN: (纸本)9781665406031

The accurate description and clear visualization of electromagnetic situation is the basis and key for people to recognize the electromagnetic environment, grasp the battlefield situation and win the future war. This paper discusses the basic methods of electromagnetic situation visualization from time domain, frequency domain, airspace and energy domain, and summarizes the specific content of electromagnetic situation display and the key issues of current research. This paper analyzes the basic problems, principles and methods of electromagnetic situation visualization system design, gives the architecture design of electromagnetic situation visualization system, and looks forward to the research methods of electromagnetic situation.

关键词： Visualization Three-dimensional displays software algorithms Two dimensional displays Data visualization Systems architecture Prediction algorithms

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Evaluation of Image Fusion Methods Applied to the ZY1-04 Data of Chengdu Area

Evaluation of Image Fusion Methods Applied to the ZY1-04 Dat...

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Information Communication and software Engineering (ICICSE), IEEE International Conference on

作者： Fengyuan Zhong Wunian Yang Key Laboratory of Earth Exploration and Information Techniques of Ministry of Education (Chengdu University of Technology) School of Geoscience and Technology (Southwest Petroleum University) Chengdu China Key Laboratory of Earth Exploration and Information Techniques of Ministry of Education (Chengdu University of Technology) Chengdu China

ISBN: (纸本)9781665430302

Different remote sensing datasets have considerably heterogeneous natures. To utilize multisource data, image fusion has been widely researched as an effective and efficient processing approach in remote sensing applications. One of the most challenging problems is how to obtain images with higher spatial and spectral resolution through pan-sharpening. It is also an unsolved problem in the application of domestically-produced satellites which have been developed rapidly in recent years. To find an appropriate fusion method for the ZY1-04 data of Chengdu area, we analyzed four representative algorithms: GramSchmidt, Pansharp, NNDiffuse and SFIM. Image preprocessing was carefully done and the fundamental steps were analyzed. Performance assessment of the fusion algorithms was given both qualitatively and quantitatively. The result suggests that GramSchmidt algorithm generally has the best overall performance for the ZY1-04 data, while other methods are still distinctive in certain aspects.

关键词： Satellites Conferences software algorithms Spatial resolution Remote sensing Image fusion software engineering

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Modeling, Simulation and Control of Close Formation Flight

Modeling, Simulation and Control of Close Formation Flight

引用

Chinese Automation Congress (CAC)

作者： Zheng Ruiping Shi Jingping Qu Xiaobo School of automation Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781665426480

In this paper, we focus on the aerodynamic characteristics of aircraft flying in tight formation. The formation model of a small unmanned aircraft is studied, and the disturbance of the wake induced velocity produced by the forward aircrafts on the tail aircraft is analyzed. It is found that the lead aircraft has a significant effect on uplift and drag on the trailing airplane. This has also demonstrated that the tail planes’ aerodynamic characteristics can be enhanced when the following plane is in the proper position of the leader in the tight formation flight. Precise position control of the tail plane in general flight operations is achieved under the influence of the tail vortex. First, the mathematical model of the leader's wake vortex was developed, and then two unmanned aerial vehicles (UAVs) were simulated using computational fluid dynamics (CFD) software to verify accuracy of this mathematical model. A control algorithm was designed to realize the stability of formation flight. Mathematical simulation and validation were performed. The designed control law is able to keep the tail plane in the appropriate position in the formation flight so that the tail plane is subjected to the maximum lift.

关键词： Computational fluid dynamics Heuristic algorithms Drag software algorithms Position control Lead Aerodynamics

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FIGCPS: Effective Failure-inducing Input Generation for Cyber-Physical Systems with Deep Reinforcement Learning 21

FIGCPS: Effective Failure-inducing Input Generation for Cybe...

引用

IEEE International Conference on Automated software Engineering (ASE)

作者： Shaohua Zhang Shuang Liu Jun Sun Yuqi Chen Wenzhi Huang Jinyi Liu Jian Liu Jianye Hao College of Intelligence and Computing Tianjin University Tianjin China Singapore Management University Singapore

ISBN: (纸本)9781665447843

Cyber-Physical Systems (CPSs) are composed of computational control logic and physical processes, which intertwine with each other. CPSs are widely used in various domains of daily life, including those safety-critical systems and infrastructures, such as medical monitoring, autonomous vehicles, and water treatment systems. It is thus critical to effectively test them. However, it is not easy to obtain test cases which can fail the CPS. In this work, we propose a failure-inducing input generation approach FIGCPS, which requires no knowledge of the CPS under test or any history logs of the CPS which are usually hard to obtain. Our approach adopts deep reinforcement learning techniques to interact with the CPS under test and effectively searches for failure-inducing input guided by rewards. Our approach adaptively collects information from the CPS, which reduces the training time and is also able to explore different states. Moreover, our approach is the first attempt to generate failure-inducing input for CPSs with both continuous action space and high-dimensional discrete action space, which are common for some classes of CPSs. The evaluation results show that FIGCPS not only achieves a higher success rate than the state-of-the-art approaches but also finds two new attacks in a well-tested CPS.

关键词： Training software algorithms Process control Reinforcement learning Cyber-physical systems History Monitoring

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Sliding Mode Control of Reactor Power Based on Model Prediction

Sliding Mode Control of Reactor Power Based on Model Predict...

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International Conference on Electronic Measurement and Instruments, ICEMI

作者： Da Tan Gang Zhou College of nuclear science and technology Naval University of Engineering Wuhan China

ISBN: (纸本)9781665444927

In order to ensure the safe and stable operation of the pressurized water stack, the core power of the reactor needs to be controlled. Traditional PID control is difficult to meet the modern control requirements, and the sliding mode control method is applied to the reactor core power control to achieve the purpose of automatic control. The state space model is established through the reactor core physical model, and the traditional sliding mode control algorithm and the model prediction sliding mode control algorithm are introduced to control the core power. The parameters of the PID controller were normalized using the particle group algorithm. By simulating the control effect of the three controllers by MATLAB/Simulink software, the results show that the model predicts the sliding mode control method without overshoot and shaking, has the best comprehensive performance, can quickly and accurately control the reactor core power and track the load change.

关键词： PI control software algorithms Power control Predictive models Prediction algorithms Mathematical models software

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