Editorial,
2020
Stony Brook University
A Study Of Static And Dynamic Characteristics Of Multifunctional Signal Converters,
2020
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Address: 108, Amir Temur st., 100200, Tashkent city, Republic of Uzbekistan E-mail: [email protected], Phone:+998-94-343-54-91
A Study Of Static And Dynamic Characteristics Of Multifunctional Signal Converters, Akmal Abdumalikov
Chemical Technology, Control and Management
The issues of continuity, accuracy, speed and reliability of signal conversion, which are the main problems of quality control and management of production processes, remain relevant. Research shows that in practice there are different signal variables, the study of which is highly formalized in a number of modeling tasks and basic classification studies, in particular transients in converters, its sources and elements requires a unified mathematical approach, that is, visual, highly formalized modeling and research based on it. The paper presents a graph model of multifunctional signal converters that provide microprocessor and electronic devices with signals in the form of …
Navigating In Numerous Video Data: User Interface Design For An On-Camera Video Analytics Engine,
2020
Purdue University
Navigating In Numerous Video Data: User Interface Design For An On-Camera Video Analytics Engine, Sabriya Maryam Alam
The Journal of Purdue Undergraduate Research
Video analytics powered by artificial intelligence shows high promise in making our society smarter. Harnessing large amounts of video data, however, requires the development of processing systems demonstrating high performance and high efficiency. To this end, this work has contributed to a video analytics system powered by artificial intelligence for object detection and recognition. Rather than streaming all the video frames to the cloud, the system analyzes images on-camera and only returns those of interest to the cloud. This edge analytics research-grade software is available, but it lacks a simple web interface for general use by scientists, engineers, and other …
A Fortran-Keras Deep Learning Bridge For Scientific Computing,
2020
University of California, Irvine
A Fortran-Keras Deep Learning Bridge For Scientific Computing, Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi
Engineering Faculty Articles and Research
Implementing artificial neural networks is commonly achieved via high-level programming languages such as Python and easy-to-use deep learning libraries such as Keras. These software libraries come preloaded with a variety of network architectures, provide autodifferentiation, and support GPUs for fast and efficient computation. As a result, a deep learning practitioner will favor training a neural network model in Python, where these tools are readily available. However, many large-scale scientific computation projects are written in Fortran, making it difficult to integrate with modern deep learning methods. To alleviate this problem, we introduce a software library, the Fortran-Keras Bridge (FKB). This two-way …
Zero-Bias Deep Learning For Accurate Identification Of Internet Of Things (Iot) Devices,
2020
Embry-Riddle Aeronautical University
Zero-Bias Deep Learning For Accurate Identification Of Internet Of Things (Iot) Devices, Yongxin Liu, Houbing Song, Thomas Yang, Jian Wang, Jianqiang Li, Shuteng Niu, Zhong Ming
Publications
The Internet of Things (IoT) provides applications and services that would otherwise not be possible. However, the open nature of IoT makes it vulnerable to cybersecurity threats. Especially, identity spoofing attacks, where an adversary passively listens to the existing radio communications and then mimic the identity of legitimate devices to conduct malicious activities. Existing solutions employ cryptographic signatures to verify the trustworthiness of received information. In prevalent IoT, secret keys for cryptography can potentially be disclosed and disable the verification mechanism. Noncryptographic device verification is needed to ensure trustworthy IoT. In this article, we propose an enhanced deep learning framework …
Paralleling Simulation Of Operation Plan Based On Decision Point Controlling,
2020
IO and Command Training Dept., National Defense University, Beijing 100091, China;
Paralleling Simulation Of Operation Plan Based On Decision Point Controlling, Zhanguang Cao, Pinggang Yu, Kuo Wang
Journal of System Simulation
Abstract: Operation plan simulation traditionally uses serial and static method. It can't be fulfilled for the military need of swift simulation and real-time decision in the modern complicated and dynamically battle field. So, the higher complexity and dynamical decision according to situation of the operation plan bring new challenge to the simulation. Operation Plan Paralleling Simulation Based on Decision Point Controlling (P2SDPC) can realize the operation plan's dynamic adjusting and cutting impossible branch based on decision point controlling technology. From then on, the efficiency of operation plan's simulation could be improved by the way of paralleling simulation. Thus the problem …
Model And Simulation Of Virtual Character Based On Real-Time Sensor Data-Driven,
2020
1. Lab of Virtual Reality, South China Agricultural University, Guangzhou 510642, China;;2. Mechanical Engineering College, Tianjin University of Technology and Education, Tianjin 300222, China;
Model And Simulation Of Virtual Character Based On Real-Time Sensor Data-Driven, Lufeng Luo, Xiangjun Zou, Zhang Cong, Xie Lei
Journal of System Simulation
Abstract: The real-time control of virtual character behavior is a challenge in simulating virtual exercise. A kind of virtual character running behavior control method based on real-time data-driven was proposed, the real-time data acquisition with the help of sensor was expounded, the time-series law of human body running was analyzed, the human body posture mathematics expression was modeled, and a limb movement parts and rotation degrees of freedom computing model was proposed. By use of rotation angle method, the space and time relationship of each part of human movement chains was established and the movement process frame when moving was …
Method For Auto-Generating Cartoon Based On A Set Of Portrait Dictionary,
2020
1. School of Film and TV Arts and Technology, Shanghai University, Shanghai 200072, China;;
Method For Auto-Generating Cartoon Based On A Set Of Portrait Dictionary, Jingjing Sun, Jiajun Yu, Li Bei, Zhifeng Xie, Youdong Ding
Journal of System Simulation
Abstract: An efficient method of auto-generating portrait cartoon based on true portrait pictures was proposed. The first step was to establish a set of portrait dictionary. As a result, the portrait was divided into six components including eyebrows, eyes, nose, mouth, face, hair, so that the material library of cartoon corresponding to each component could be established. The next was to collect some real portrait images and synthesize them using the component material, meanwhile to calculate the facial shape features and the texture features of hair corresponding to each portrait. The second step was to input a real portrait image …
Neural Network Model Of Information Fusion For Coal Storage And Kinetic Energy Of Ball Mill,
2020
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;
Neural Network Model Of Information Fusion For Coal Storage And Kinetic Energy Of Ball Mill, Bai Yan, He Fang
Journal of System Simulation
Abstract: A dynamic mathematical model of coal pulverizing system was analyzed. Simulation experiments on mill operation process were conducted by PFC3D software platform based on discrete element method. The associated data between different coal quality, coal storage and balls' motion were obtained under certain quantitative optimized operating parameters configuration. Neural network model of information fusion for coal storage and kinetic energy of ball mill was established by using an adaptive combination learning algorithm. Coal storage in mill cylinder was predicted from the energy point of view. The results indicate that there is a close relationship between coal storage, pulverizing efficiency …
Modeling Of High-Speed Railway Operation Informational Interaction Process Using Oopn,
2020
1. School of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610031, China;;2. National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu 610031, China;
Modeling Of High-Speed Railway Operation Informational Interaction Process Using Oopn, Liping Feng, Qiyuan Peng, Wen Chao
Journal of System Simulation
Abstract: High-speed railway transportation is an informational interaction process involving multi-levels and multiple subsystems. The majority of the present study focuses on the local system, causing some limitations to the overall control of high-speed rail traffic command. The high-speed railway operation process covering traffic control subsystem, train control subsystem, computer interlocking subsystem were researched with the key point of information interaction. Then the future directions were proposed, modeling and application respectively, which could remind of the deepen research on high-speed railway operation. Based on OOPN, the HTOIIP model with the formalized definition was built.
Application Of Domain Knowledge Representation In Simulation Tutoring For Weapon Utilization,
2020
1. Troop 66459, Beijing 102202, China;;2. College of Information Systems and Management, National University of Defense Technology, Changsha 410073, China;
Application Of Domain Knowledge Representation In Simulation Tutoring For Weapon Utilization, Zhang Chi, Danhua Peng, Kedi Huang
Journal of System Simulation
Abstract: According to the requirements and characteristics of the simulation tutoring system for weapon utilization, a knowledge base depending on the domain ontology was designed. The knowledge for weapon utilization, the knowledge representation, and the method of knowledge representation were introduced. Through a combination of the ontology technology and various existing models, the key points of using specific weapon could be mastered by processing the date, information, and experience from expert. The conceptual model of knowledge was built. A knowledge base for weapon utilization was designed and implemented. The structure and function of the simulation tutoring system and rule-based expert …
Method For Auto-Detection Of Tracking Moving Objects In Complicated Dynamic Environment,
2020
1. College of Computer and Information, Luoyang Normal University, Luoyang 471022, China;;
Method For Auto-Detection Of Tracking Moving Objects In Complicated Dynamic Environment, Yanling Wang, Guanglun Li, Lin Xiao
Journal of System Simulation
Abstract: An approach was proposed to solve the problem of not accurately identifying the moving targets in the complex dynamic environment. The moving objects were detected by utilizing the method based on the HSV color space and auto-updating the background. The background subtraction method based on the HSV color space was used to solve the problem that the objects could not be accurately identified for the color similarity of objects and background and the influence of the shadow of the moving targets. The background change was divided into the temporary stability and the rapid change, and an automatically updating double …
Robust Image Cloning With Color Harmonization,
2020
1. School of Film and TV Arts and Technology, Shanghai University, Shanghai 200072, China;;
Robust Image Cloning With Color Harmonization, Li Bei, Wang Hao, Jiajun Yu, Zhifeng Xie, Youdong Ding
Journal of System Simulation
Abstract: Image cloning has always been an important part of image editing. In general, it can be divided into three methods, based on a component, based on gradient domain, and based on coordinate respectively, but the color discordant and boundary distortion problems have not been well solved. In order to solve the color discordant problem in the method based on mean value coordinate, a method of image cloning was proposed based on local affinity propagation. The affinity considered the location information of pixels, color information, background information comprehensively, thus it could ease the color discordant and reach color harmonization. The …
Multi-Objective Cuckoo Search Algorithm,
2020
1. School of Science, Xi'an Polytechnic University, Xi'an 710048, China;;
Multi-Objective Cuckoo Search Algorithm, Xingshi He, Li Na, Xinshe Yang, Yu Bing
Journal of System Simulation
Abstract: It is challenging to solve multi-objective optimization problems with getting high-quality Pareto fronts accurately. The multi-objective Cuckoo Search algorithm (MOCS) was designed by firstly applying the recently developed Cuckoo Search Algorithm (CS) in solving Multi-objective optimization problems, and the fitness function based Pareto definiteness was improved, and the Gradual archive reduction method based on niche technology was proposed to improve the Archive solutions quality. The simulation test results and related performance indicators of nine test problems show that, MOCS algorithm is obviously improved in the aspect of the convergence, the diversity and the uniformity compared with the classic NSGA-II …
Simulation Analysis Of Rutting Length Based On Driving Safety Under Condition Of Road Waterlogging,
2020
1. Traffic Engineering Research Institute, School of Highway, Chang'an University, Xi'an 710064, China;;
Simulation Analysis Of Rutting Length Based On Driving Safety Under Condition Of Road Waterlogging, Zhang Min, Xinxin Guo, Zhang Chi
Journal of System Simulation
Abstract: Rutting is one of the important factors for vehicle hydroplaning in raining days. Based on the analysis of vehicle driveability and lateral stability on the pavement covered by water, the rutting safety evaluation method considering driving safety under the condition of road waterlogging was put forward. Using the CarSim software to simulate vehicle lateral offset and lateral acceleration with different speeds, the rutting evaluation indicators on driving safety were set up. It shows that vehicle lateral offset and lateral acceleration increase quickly and exceed the safety threshold easily when more than 80km/h speed. On the rutting pavement covered by …
Security Model For Multi-Level Interaction Based On Portable Devices,
2020
PLA Information Engineering University, Zhengzhou 450001, China;
Security Model For Multi-Level Interaction Based On Portable Devices, Xuesi Zhang, Bin Yu
Journal of System Simulation
Abstract: Aiming at the problem of information interaction between multi-security-level devices, a security model based on portable devices was proposed. In use of portable storage device partitions, this model established a security communication channel that transmitted the multi-level interaction problem to the problem of controlling ordered read-write operation sequences. By setting the condition of security level as well as the recognition of partitions and operation, the read-write function for partition was designed to control the read and write operation towards the interactive partition. Based on the above, by designing operation control rules between interaction devices, an effective and bidirectional controlled …
Research Of Multi-Factor Identity Authentication Scheme For Zigbee Network Nodes,
2020
Information Engineering University, Zhengzhou 450000, China;
Research Of Multi-Factor Identity Authentication Scheme For Zigbee Network Nodes, Weiwei Zhou, Yuntian Yue, Bin Yu
Journal of System Simulation
Abstract: To solve the problem of the man-in-the-middle attack and impersonation attack in ZigBee networks, a scheme based on multi-factor identity authentication for ZigBee network nodes was proposed. The scheme bound the fresh factor updated in a particular cycle with hardware information via a one-way hash function to generate hardware information factor. On this basis, the scheme achieved the authentication mechanism for the nodes through the comparison among key factor, hardware information factor and configuration information factor received by control center. Meanwhile, the nodes completed control center authentication through the signature verification of the message received. Thus, the bidirectional authentication …
Spatio-Temporal Correlation Described And Analysis Method Of Video Event Based On Case Frame,
2020
1. School of Management, Jiangsu University, Zhenjiang 212013, China;;2. School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang 212013, China;;
Spatio-Temporal Correlation Described And Analysis Method Of Video Event Based On Case Frame, Ke Jia, Yongzhao Zhan, Xiaojun Chen, Manrong Wang
Journal of System Simulation
Abstract: In the mass of video resources, how to describe and represent video event content is one of hot issues in the current multimedia information processing. The original theory of case grammar for natural language understanding was extended; Case Frame was designed to describe the relationships between the structures of complex events in the sub-events. In Ref_Asso, which is one of relationships, spatio-temporal correlation was analyzed and reasoned among sub-events. In the experimental part, Case Semantic Frame Net was used to describe and understand the typical complex events in surveillance video. And results of users' retrieval were compared; in which …
Digital Analysis For Van Gogh's Painting,
2020
1. School of Information Science and Engineering, Yunnan University, Kunming 650091, China;;2. Huazhong University of Science and Technology, Wuhan 430074, China;
Digital Analysis For Van Gogh's Painting, Yuqing Liu, Yuanyuan Pu, Yangfu Ren, Xu Dan
Journal of System Simulation
Abstract: Usually, Sparse Coding can be used to extract image characteristics for analyzing the style of visual art works, while researchers always don't do deep data mining on the trained basis function. The basic functions that could reflect the interior characteristics of a stylish image were trained based on Sparse Coding on art works. The spatial and higher-order characteristic statistics were figured out. Van Gogh's art works of different periods were analyzed through normalized mutual information computing using trained basis function's Gabor transform power, in order to find the diversity of style. The simulation results show that data mining on …
Research On High Usability Based On Cloud Simulation Platform,
2020
Xi'an Technological University, Xi'an 710021, China;
Research On High Usability Based On Cloud Simulation Platform, Limin Zhou, Yanfang Fu, Wuqi Gao, Gao Xiang, Cheng Bing
Journal of System Simulation
Abstract: With the increasing complexity of the simulation system, the reliability requirement is also growing. In order to ensure the reliability of the simulation system, a cloud simulation platform was built. Through the research of virtualization and high availability, a set of cloud simulation platform client management program was designed and developed according to the simulation needs. In the process of running, virtual simulation system node migration and analog off network operations were proposed to verify the reliability of the platform disaster. This ensures that the simulation system runs efficiently and stably.
