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A novel smart substation secondary circuit simulation training system

A novel smart substation secondary circuit simulation traini...

引用

Power Electronics, Computer Applications (ICPECA), ieee international conference on

作者： Xiaotao Sun Wenhui Zheng Guang Huo Yunzhen Lian State Grid Tianshui Power Supply Company Tianshui City China Beijing Kedong Power Control System Co. Ltd. Beijing China

Compared with traditional substations, the secondary circuit of smart substations is quite different in terms of transmission channel and protection function realization, which puts forward higher requirements for the knowledge level and business capabilities of smart substation operation and maintenance personnel. It is necessary to develop a set of teaching tools suitable for the training of secondary circuits in smart substations. This paper proposes a set of smart substation simulation secondary circuit simulation training system. The system builds the dynamic drawing model of the secondary schematic diagram, secondary wiring diagram, and secondary expansion diagram of the smart substation through visual modeling tools; with the help of the drawing monitoring module, the system can monitor the status of drawing elements in real time, dynamically calculate the input and output of drawings, and record the action sequence of elements; the system can build training cases based on typical protection action events and alarm events of smart substations. Thus, the system can be used to carry out drawing recognition training and defect tracking training for the secondary circuit of smart substations. This system enriches the content of the simulation training of smart substation secondary circuit, and has achieved good results in practical applications.

关键词： Training Wiring Visualization Substations Circuit simulation Topology Systems support

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Timescales of the posterior parietal cortex during locomotor adaptation

Timescales of the posterior parietal cortex during locomotor...

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international ieee/EMBS conference on Neural Engineering, CNE

作者： Noelle A. Jacobsen John C. Prieschl Daniel P. Ferris J. Crayton Pruitt Famity Department of Biomedical Engineering University of Florida Gainesville FL

Locomotor adaptation is an error-driven process that allows our motor system to adjust movements and account for new environmental demands. Many behavioral studies have sought to increase our understanding of the neural mechanisms of locomotor adaptation by examining how people adapt to walking on a split-belt treadmill, which usually occurs within minutes. Motor adaptation can be modeled using a double exponential function to characterize the fast and slow adaptation process. Mobile brain imaging with high-density electroencephalography (EEG) now enables quantification of electrocortical dynamics during human locomotion. We recorded high-density EEG and motion capture from 30 healthy, young adults during split-belt treadmill walking. To decrease motion and muscle artifact, we incorporated a dual-electrode EEG system and neck electromyography. We fit single and double exponential models to step length symmetry and EEG spectral power to characterize the time course of split-belt adaptation. We found component clusters near the posterior parietal cortex (PPC) that had significant changes in alpha (8–12 Hz) and beta (13–30 Hz) spectral power from early to late adaptation. We also found that the time constants from the neural models are generally larger than the behavioral models. These results indicate that adaptive locomotor processes in multiple brain regions continue even after behavioral plateau.

关键词： Neuroimaging Legged locomotion Adaptation models Neural engineering Muscles Brain modeling Electroencephalography

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Structure Design and simulation Analysis of Under-Rank Endpicker of Hub Forging Robot 6

Structure Design and Simulation Analysis of Under-Rank Endpi...

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6th ieee international conference on Advanced Robotics and Mechatronics (ICARM)

作者： Shen, Yi Zhang, Quanbing Miao, Haipeng Qiu, Beibei Yuan, Mingxin Jiangsu Univ Sci & Technol Zhenjiang 212100 Jiangsu Peoples R China Jiangsu Univ Sci & Technol Suzhou Inst Technol Suzhou 215600 Peoples R China Lianyungang Jerry Automat Co Ltd Lianyungang 222006 Peoples R China

ISBN: (纸本)9780738133645

This In order to solve the problems of single grasping mode, poor grasping stability and adaptability of forging robot endpicker, a wheel forging robot under-rank endpicker was designed, and its grasping stability and adaptability were verified by motion simulation. Firstly, the design of under-rank endpicker was carried out and its adaptive envelope grasping process was analyzed. Then, taking the right finger of endpicker as an example, the kinematics model was established by D-H modeling method, and the motion space of endpicker was simulated by MATLAB. Finally, the simulation model of under-rank endpicker was established in ADAMS software, and it is proved that the under-rank endpicker of wheel forging robot can grasp multi configuration and multi size objects, and has strong adaptive clamping ability. The simulation results show that the clamping space of the single finger of the end-pick in the plane is 118.34mmx189.7mm, which has a large clamping range;the standard deviation of the contact force at each knuckle contact point is 1.13N. Due to the existence of the error, the contact force can be approximately considered to be equal, which effectively proves that the under-rank endpicker can achieve uniform force stable envelop clamping.

关键词： Under-rank structure Endpicker Self adaptation Kinematics analysis ADAMS simulation

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Research on Network Information Security Model Based on Computer Artificial Intelligence Technology

Research on Network Information Security Model Based on Comp...

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Electrical Engineering, Big Data and Algorithms (EEBDA), ieee international conference on

作者： Jiali Xiao Yifeng Li Tian Yan Lihua Li Beijing University of Technology ZHUHAI & USM Zhuhai City China Beijing University of Technology Zhuhai Zhuhai City China

This paper proposes a security assessment method based on rough set theory for flood DDoS attacks. It realizes real-time quantitative assessment of security threats. The hardware structure of network communication early warning system is designed by taking FTGUI-20003-1B processor and warning signal lamp as an example. In this paper, the sensor technology is introduced to acquire the state characteristics of the communication network. Rough set theory is introduced to identify network security state. It divides the communication network link into the communication channel composed of multiple nodes and identifies the security state of the communication network. The simulation results show that the intrusion detection capability of this method is strong and the reliability and stability of security detection are good.

关键词： Support vector machines Computational modeling simulation Rough sets Intrusion detection Reliability theory Network security

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Development of software tools for testing the autonomous navigation system of UAVs

Development of software tools for testing the autonomous nav...

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international Computer Sciences and Information Technologies (CSIT)

作者： Mykyta Klymenko Anatoly Shevchenko Institute of Artificial Intelligence Problems of MES and NAS of Ukraine Kyiv Ukraine

ISBN: (纸本)9798350334326

In this paper the testing environment for the artificial intelligence system that operates the unmanned aerial vehicle (UAV) is considered. The approach given in this paper covers developing part of the computer software that will reflect the structure and functional behavior of the UAV. This software implements simulation modeling of processes that occur on different UAV’s subsystems. To implement this kind of software that will model UAV’s actions in real-world environment and time, the hybrid dynamic models will be used. These models will consist of probability component such as weather conditions, availability of cellular data or any other kind of connection, so they could be called stochastic. The main point of this research is to develop a visual, mathematical and analytical representation of the processes that take place in artificial intelligence system.

关键词： Visualization Computational modeling Stochastic processes Autonomous aerial vehicles Probabilistic logic Mathematical models behavioral sciences

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Optimization of Overdraft Application Process with Fluxicon Disco 20

Optimization of Overdraft Application Process with Fluxicon ...

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20th international conference on ICT and Knowledge Engineering (ICT and KE)

作者： Porouhan, Parham Siam Univ Grad Sch Informat Technol Bangkok Thailand

ISBN: (数字)9781665486606

ISBN: (纸本)9781665486606

Having reliable information is very important while using a process mining technique as data mining is all about finding out how processes are actually performed to discover problems and areas for improvement. In this paper, we analyzed the real-life event log from a financial institution using the data mining tool called Fluxicon disco. The dataset is related to the application process for a personal loan or overdraft. The event log has a total of 262200 events and 13087 cases. The data was collected from October 1, 2011, to March 14, 2012. The whole loan procedure started with the customer submitting an application and the successful endpoint is the application being activated. For this study, we collected the data in CSV format and imported it into the Fluxicon Disco software. The Disco makes it easier to deal with large event logs and complex models. After importing the data, we defined the column as Case ID, Activity, Resource, Timestamp, and Attributes. We do not have any large specific problem;the dataset simply shows the loan process activities and path. But we assume that there might be some departments and activities which might be taking longer than necessary, and it might be increasing the entire loan selection process. We assume that some work is not being done in an efficient way, resources of the organization are not optimized, and as a result, clients have to wait for more for the loan process. So based on these problems, our objective is to find those activities and paths where duration is comparatively very high, and cases are being piled up there. But the data analytics tool does not exactly state what the real problem is, it just gives us direction and we have to find it out on our own. In this data analyzing process, we came up with two major areas which we think need to be taken care of. The first one is the activity which is modifying approved contracts where the frequency is very low, but the mean duration is very high. And it is placed in a

关键词： Process Mining Fluxicon Disco personal loan activity and overdraft-related attributes process discovery process modeling bottleneck mining workflow simulation process mapping Fuzzy Miner graphs/models

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Aircraft Trajectory Prediction Based on Residual Recurrent Neural Networks

Aircraft Trajectory Prediction Based on Residual Recurrent N...

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Electrical Engineering, Big Data and Algorithms (EEBDA), ieee international conference on

作者： Zhonghang Fan Junqi Lu Zhanghao Qin China Academy of Launch Vehicle Technology Beijing China Hainan University Haikou China Jiangnan University Wuxi China

Accurate and efficient aircraft trajectory prediction is one of the important technologies developed in the aerospace field today. The high space-time complexity, strong uncertainty and changeable flight trajectories of aircraft flight have brought great difficulties to the modeling and solution of intelligent trajectory planning. Aiming at the problems of strong maneuverability and difficult trajectory prediction of unpowered aircraft, based on the analysis of trajectory characteristics, this paper proposed a trajectory prediction method for aircraft based on residual recurrent neural network (RESRNN) for trajectory prediction. First, our algorithm decomposes the 3D trajectory data of the aircraft in time series. Then, this paper uses RNN for loop calculation and RESNET for residual extraction to get the predicted result. Furthermore, in order to solve the problem of lack of simulation sample libraries, this paper proposes a sample generation method based on differential dynamics to generate a sample library for validating our algorithm. The simulation results show that compared with other prediction methods, our method has higher prediction accuracy, which has certain reference significance for intelligent trajectory planning, trajectory prediction, and interception of other large maneuvering targets.

关键词： Recurrent neural networks Trajectory planning Atmospheric modeling Predictive models Prediction algorithms Mathematical models Libraries

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An Aggressive Non-Preemptive Real-Time Scheduling Using Imprecise Computing

An Aggressive Non-Preemptive Real-Time Scheduling Using Impr...

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Integrated Circuits and Communication Systems (ICICACS), ieee international conference on

作者： Xiangyu Wu Kangda Zhang Jerry Department of Digitalization Research China Auto Information Technology Co.Ltd. Tianjin China

Many conventional real-time scheduling algorithms adopt pessimistic strategies to meet the deadlines in the worst case, which result in a waste of resource and energy. In order to solve this problem, we proposed an aggressive non-preemptive scheduling by MILP off-line formulation. By means of implementing imprecise computing on the algorithm and task granularity, satisfy the real-time constraints of aperiodic task set with a QoS guarantee. Furthermore, we proposed two preprocessing algorithms and three on-line adjustment schemes to improve different QoS factors at runtime. simulation results show that these techniques can improve the schedulability of real-time systems with a high QoS. Considering the performance constraints of MILP off-line scheduling algorithm, it does not suitable for application in the large-scale task sets, a new heuristic algorithm to solve the problem is needed to explore. Besides, the execution time probability model should also be improved to enhance schedulability in the future.

关键词： Runtime Scheduling algorithms simulation Heuristic algorithms Computational modeling Quality of service Real-time systems

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simulation of IGBT switch transient analysis model considering parasitic parameters

Simulation of IGBT switch transient analysis model consideri...

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Control, Electronics and Computer Technology (ICCECT), ieee international conference on

作者： Zhongxin Hu Xinjian Cai Cheng Zhang School of Electronic Electrical Engineering and Physic Fujian University of Technology Fuzhou China

The voltage change rate and current change rate of the insulated gate bipolar transistor (IGBT) in the switching transient produce large induced voltage and induced current on the parasitic parameters of the device, which makes the IGBT very sensitive to the parasitic parameters during the switching process. In order to evaluate the influence of parasitic parameters of main circuit and package on the characteristics of IGBT switch, a transient analysis model of IGBT switch considering the influence of parasitic parameters is proposed. Detailed modeling and analysis are carried out for each stage of device turn-on and turn-off process, mathematical equations of voltage and current at each stage are established, and the change rate of voltage and current at different stages is calculated. Based on the mathematical equation between parasitic parameters and voltage and current, the influence of parasitic parameters on IGBT switching characteristics at each stage of the turn-on and turn-off process is analyzed. Finally, the influence rule of parasitic parameters on IGBT switching characteristics is verified by simulation.

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Investigation of the Reliability of the Interconnection between Metal Electrode and Silicon Anchor in Silicon-on-Glass Process 16

Investigation of the Reliability of the Interconnection betw...

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16th ieee international conference on Nano/Micro Engineered and Molecular Systems (ieee-NEMS)

作者： Liu, Mengxia Dong, Xianshan Cui, Jian Zhao, Qiancheng Peking Univ Inst Microelect Beijing 100871 Peoples R China Minist Ind & Informat Technol Sci & Technol Reliabil Phys & Applicat Elect Comp 5 Elect Res Inst Guangzhou 510610 Peoples R China

ISBN: (纸本)9780738124292

The silicon-on-glass (SOG) process which relies on anodic bonding between the glass substrate and silicon device layer is widely used in the fabrication of a variety of MEMS devices. Electrodes are usually formed by sputtering some metals on glass and located between the silicon and the glass, so its reliability depends on the quality of contact between the silicon and the metal. In this paper, the problems occurred in the interconnection surface of our designed devices are analyzed from the perspective of experiment and simulation. Firstly, the samples are encapsulated with resin, and after the sample is cured, it is processed by longitudinal grinding. Later the slice surfaces are observed by FIB. From this, it can be observed that between the metal and the anchor point there are 13.14nm and 75.36nm wide cracks respectively. Then we carried out finite element simulation on the model by combining solid mechanics and solid heat transfer coupling physical field. The simulation results show that the maximum volume stress can reach 2.88x10(7)Pa under 320 degrees C temperature difference of anodic bonding. We infer that the geometrical relationship between the metal and anchor points in the model is improper, due to the thermal stress of MPa generated during the bonding process, the silicon anchor point slips relative to the metal, and then cracks are generated. In this regard, we put forward the optimization and solution.

关键词： Electrodes Solid modeling Metals Glass Solids Silicon Reliability

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