A Survey On Graph Representation And Visualization Techniques,
2020
Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;
A Survey On Graph Representation And Visualization Techniques, Chen Yi, Menglu Zhang, Yuchai Wan
Journal of System Simulation
Abstract: A graph consists of nodes and edges, and represents the relationship between two or more entities. Graph-based analysis can help understand the structure and nature of the entity relationships and reveal the implicit relationships in graphs. The representation and visualization methods of graphs play an important role in the graph analysis. In graph visualization research, the accuracy of knowledge transfer and people's mental map, etc. should be considered first, then the graphs beauty, the time requirement, and the computer performance. The graph representation methods, graph layout algorithms, visualization methods based on node-link-graphs, adjacency matrices, and graph embedding are reviewed, …
Human Supremacy As Posthuman Risk,
2020
New Jersey Institute of Technology
Human Supremacy As Posthuman Risk, Daniel Estrada
The Journal of Sociotechnical Critique
Human supremacy is the widely held view that human interests ought to be privileged over other interests as a matter of ethics and public policy. Posthumanism is the historical situation characterized by a critical reevaluation of anthropocentrist theory and practice. This paper draws on animal studies, critical posthumanism, and the critique of ideal theory in Charles Mills and Serene Khader to address the appeal to human supremacist rhetoric in AI ethics and policy discussions, particularly in the work of Joanna Bryson. This analysis identifies a specific risk posed by human supremacist policy in a posthuman context, namely the classification of …
Not Intelligent: Encoding Gender Bias,
2020
University of Minnesota Law School
Not Intelligent: Encoding Gender Bias, Cara Tenenbaum
Minnesota Journal of Law, Science & Technology
No abstract provided.
Law, Technology, And Pedagogy: Teaching Coding To Build A “Future-Proof” Lawyer,
2020
University of Minnesota Law School
Law, Technology, And Pedagogy: Teaching Coding To Build A “Future-Proof” Lawyer, Alfredo Contreras, Joe Mcgrath
Minnesota Journal of Law, Science & Technology
No abstract provided.
Allosteric Regulation At The Crossroads Of New Technologies: Multiscale Modeling, Networks, And Machine Learning,
2020
Chapman University
Allosteric Regulation At The Crossroads Of New Technologies: Multiscale Modeling, Networks, And Machine Learning, Gennady M. Verkhivker, Steve Agajanian, Guang Hu, Peng Tao
Mathematics, Physics, and Computer Science Faculty Articles and Research
Allosteric regulation is a common mechanism employed by complex biomolecular systems for regulation of activity and adaptability in the cellular environment, serving as an effective molecular tool for cellular communication. As an intrinsic but elusive property, allostery is a ubiquitous phenomenon where binding or disturbing of a distal site in a protein can functionally control its activity and is considered as the “second secret of life.” The fundamental biological importance and complexity of these processes require a multi-faceted platform of synergistically integrated approaches for prediction and characterization of allosteric functional states, atomistic reconstruction of allosteric regulatory mechanisms and discovery of …
From Ai With Love: Reading Big Data Poetry Through Gilbert Simondon’S Theory Of Transduction,
2020
New Jersey Institute of Technology
From Ai With Love: Reading Big Data Poetry Through Gilbert Simondon’S Theory Of Transduction, Andrew Klobucar
Electronic Literature Organization Conference 2020
Computation initiated a far-reaching re-imagination of language, not just as an information tool, but as a social, bio-physical activity in general. Modern lexicology provides an important overview of the ongoing development of textual documentation and its applications in relation to language and linguistics. At the same time, the evolution of lexical tools from the first dictionaries and graphs to algorithmically generated scatter plots of live online interaction patterns has been surprisingly swift. Modern communication and information studies from Norbert Weiner to the present-day support direct parallels between coding and linguistic systems. However, most theories of computation as a model of …
Why Are We Like This?: Exploring Writing Mechanics For An Ai-Augmented Storytelling Game,
2020
University of California, Santa Cruz
Why Are We Like This?: Exploring Writing Mechanics For An Ai-Augmented Storytelling Game, Max Kreminski, Melanie Dickinson, Michael Mateas, Noah Wardrip-Fruin
Electronic Literature Organization Conference 2020
Why Are We Like This? (WAWLT) is a playful, co-creative, AI-augmented, improvisational storytelling game in which one or more players explore and influence an ongoing simulation which they then glean for narrative material. It uses the recently developed simulation technology of story sifting (the recognition of microstories in a chronicle of simulation events), via the Felt library, to afford a new kind of playful, social, and creative writing experience. In this paper, we discuss our primary design goals: (1) using computation and interaction design to support casual player creativity, and (2) foregrounding character subjectivity as a driver for …
Study On Flywheel Automotive-Brake Energy Recovery System,
2020
1. Nanchang University, Mechanical and Electrical Engineering, Nanchang 330031, China;;
Study On Flywheel Automotive-Brake Energy Recovery System, Juhua Huang, Fuzhong Wang, Junping Yang
Journal of System Simulation
Abstract: The generator automotive-braking energy recovery system can only be applied to the new energy vehicles. In order to improve the situation, a kind of flywheel automotive-braking energy recovery system (FAERS) was proposed that could be applied to the traditional vehicles. The structure of the FAERS was designed and its working principle was explained in detail. The working principle of the FAERS and the main structural parameters—the maximum torque of the electromagnetic clutch, the transmission ratio of the energy storage flywheel and the rotational inertia of the energy storage flywheel were simulated in the environment of Matlab-Simulink, which …
Improved Cuckoo Search Algorithm Applied To Multi-Objective Optimization Of Crowd Evacuation,
2020
1.Dongguan Polytechnic, DongGuan 523808, China;;
Improved Cuckoo Search Algorithm Applied To Multi-Objective Optimization Of Crowd Evacuation, Chongjie Dong, Liu Yi, Peng Yong
Journal of System Simulation
Abstract: The crowd evacuation problem is a multi-objective optimization problem in large public places under the emergency, but because of the conflict between multiple objectives in multi-objective optimization problem, it is difficult to make the multiple targets achieve the optimal at the same time. The most popular solution is an evolution multi objective optimization algorithm for the characteristics of heuristic search of population and the partial order relation. Cuckoo search algorithm is a new search algorithm which was found in the behavior of cuckoo nest spawning lies, the basic cuckoo search algorithm is lack of vitality, and search is slow. …
Sliding Weighted Least Square Model For Short-Term Wind Power Prediction,
2020
1. State Grid Liaoning Electric Power Supply Co., Ltd, Shenyang 110004, China;;
Sliding Weighted Least Square Model For Short-Term Wind Power Prediction, Yanfeng Ge, Liang Peng, Liqun Gao, Junchang Zhai
Journal of System Simulation
Abstract: A new approach for wind power forecasting was proposed based on sliding window weighted recursive least squares for the defect of wind power short-term prediction in the traditional prediction methods. The historical data was weighted and the perturbation caused by the historical data was ruled out in this method, which focused on the current data on the result of prediction. This made the model have the adaptability to the change of the environment data. The harmony search algorithm was used to optimize the orders and the parameters of the predict model, which could improve the precision and accuracy of …
Modeling Computation Entity Of Cps Based On Dynamic Behavior,
2020
School of Computer Science and Technology, China University of Mining Technology, Xuzhou 221116, China;
Modeling Computation Entity Of Cps Based On Dynamic Behavior, Ye Feng, Xia Yang, Zhaoxiang Shen, Yunchao Zhu
Journal of System Simulation
Abstract: The Cyber-Physical System (CPS) has been highly concerned since it was proposed. However, the key of creating a good CPS system critically depends on the prophase design of the system model. Currently, it has become the focus and difficulty of research at home and abroad that models a CPS system with comprehensive, robustness, security. According to the previous studies, the CPS system was divided into computing entity, physical entity and control entity. A modeling method of computation entity of CPS was provided, which is DBM-UML (Dynamic behavior modeling-UML). With this method, an analysis of the entire system's structure …
Method For Network Security Reinforcement Based On Gscpn Model,
2020
1. The Department of Information Operation & Command Training, NDU of PLA, Beijing 100091, China;;2. State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450002, China;
Method For Network Security Reinforcement Based On Gscpn Model, Gao Xiang, Liu Yang, Xiaoyuan He
Journal of System Simulation
Abstract: In order to improve the security of networks in whole, a method of making strategies for the network security reinforcement based on Generalized Stochastic Colored Petri Net was proposed. The concepts of host node utilization index and host node key degree were introduced, which enabled the vulnerable nodes that needed repairing sorted by the value of host node key degree. On this basis, security level of the target network was increased by the reinforcement according to the principle of maximum node key degree first. The network instance further validates that the proposed method for network security reinforcement is …
Object Tracking Method Based On Superpixel And Local Sparse Representation,
2020
Physics and Optoelectronic Engineering College, Xiangtan University, Xiangtan 411105, China;
Object Tracking Method Based On Superpixel And Local Sparse Representation, Huixian Yang, Liu Zhao, Liu Yang, Liu Fan, Dilong He
Journal of System Simulation
Abstract: Due to the appearance changing of target object in object tracking, a tracking algorithm was proposed based on superpixel and local sparse representation (SPS). In training process, a discriminative appearance model was constructed by clustering the segmented train images; sparsity-based histogram of target object was calculated to construct generative appearance model. In tracking, superpixel-based confidence map was obtained, and the confidence values of candidates was sampled and calculated; the similarity between sparsity-based histogram of candidates and target template was computed by using local patches. Then motion model and observation model of candidates according to the confidence values and …
Face Recognition Method Based On Cost-Sensitive Supervised Manifold Learning,
2020
College of Mathematics and Information Science, Langfang Normal University, Langfang 065000, China;
Face Recognition Method Based On Cost-Sensitive Supervised Manifold Learning, Yeqin Cui, Jianguo Gao
Journal of System Simulation
Abstract: Existing subspace learning-based face recognition methods assume the same loss from all misclassifications. In the real-world face recognition applications, however, different misclassifications can lead to different losses. Motivated by this concern, a cost-sensitive supervised manifold learning approach for face recognition was proposed. The proposed approach incorporated a cost matrix to specify the different costs associated with misclassifications of subjects, into locality preserving projection algorithm, which devised the corresponding cost-sensitive methods, namely, cost-sensitive locality preserving projections (Cos-Sen LPP), to achieve a minimal overall loss. Three face databases were put into the experiments and experimental results show that Cos-Sen LPP method …
Research Of Under-Determined Blind Source Separation Anti-Collision Algorithm Based On Rfid Frame-Slot,
2020
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China;
Research Of Under-Determined Blind Source Separation Anti-Collision Algorithm Based On Rfid Frame-Slot, Xiaohong Zhang, Yungang Jin
Journal of System Simulation
Abstract: For the algorithm of under-determined blind separation’s result becomes worse as the increasing number of tags, causes the decline of the overall system performance or other issues, a novel parallelizable identification anti-collision algorithm based on NMF and framed-slot was proposed. The number of tags in each slot can be controlled within the optimum range by selecting the reasonable number of slots, remained the best condition of the RFID system. Compared with the Blind Separation and Dynamic Bit-Slot Group (BSDBG) algorithm using the same multi-antenna technology, the simulation results show that the tag identification rate improves from 180% to 389% …
Chimera Grid Methods Applied In Astronautics Aerodynamic Problems,
2020
Supercomputting Center, Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China;
Chimera Grid Methods Applied In Astronautics Aerodynamic Problems, Yuan Wu
Journal of System Simulation
Abstract: Structured chimera grid method has been considered as the most applicable technology to solve aerodynamic problems of multi-component configuration aircraft at current stage. Therefore, by using structured chimera technology and CFD method, two typical aerodynamic problems of conventional tactics missile configuration with rudder deflection were thoroughly investigated: i) a simple and practical linear modification model for micro unsymmetry configuration was proposed which could effectively reduce the range of error and eliminate its skewness properties caused by asymmetric separation vortex, while the traditional method introduced lateral aerodynamic error in data transformation; ii) 3-tunnel linear adding model was investigated and the …
Co-Design Between Robust H∞ Guaranteed Cost Fault-Tolerant And Communication For Nncs Based On Event-Triggered,
2020
College of Electrical and information engineering, Lanzhou University of Technology, Lanzhou 730050, China;
Co-Design Between Robust H∞ Guaranteed Cost Fault-Tolerant And Communication For Nncs Based On Event-Triggered, Li Wei, Kun Yan, Yajie Li
Journal of System Simulation
Abstract: Based on the discrete event-triggered communication scheme (DETCS), the co-design between robust H∞ guaranteed cost fault-tolerant control and communication was studied for uncertain nonlinear networked control system (NNCS) with actuator failures. Firstly, a new closed-loop failure model was established by introducing the DETCS and adopting state feedback control strategy. Then, based on the Lyapunov stability theory and less-conservative technology, the sufficient condition of NNCS with robust H∞ guaranteed cost was derived, which was the time-delay/event-dependent approach, moreover, some optimal co-design methods between the fault tolerant controller and event-triggered weight matrix were given. Furthermore, the co-design problems of …
Lie Group Modeling And Optimal Control Of Underwater Vehicle,
2020
1. School of Mechanical Electronic &Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China;;
Lie Group Modeling And Optimal Control Of Underwater Vehicle, Bai Long, Zhifeng Dong, Xinsheng Ge
Journal of System Simulation
Abstract: The Lie group modeling method and gauss pseudo-spectral energy optimal control of the underwater vehicle are in research. Simplifying the underwater vehicle to be a free rigid body, in view of the possible large attitude angle maneuvering of the underwater vehicle, importing the concept of lie group and lie algebra, combining with the variation method and Lagrange method, the dynamics equation of the rigid body was derived, translating the tradition expression of the hydrodynamic force to obtain the dynamics equation of the underwater vehicle base on the lie group. With the Gauss pseudo-spectral method, the continue space optimal …
Analysis Of Lateral Force And Deviation Of Permanent Magnetic Levitation Belt Conveyor,
2020
1. Anhui Mine Electromechanical Equipment Cooperative Innovation Center, Anhui University of Science and Technology, Huainan 232001, China;;2. School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China;
Analysis Of Lateral Force And Deviation Of Permanent Magnetic Levitation Belt Conveyor, Kun Hu, Wang Shuang, Yongcun Guo, Deyong Li
Journal of System Simulation
Abstract: On the basis of reasonable assumptions, lateral force mathematical model of permanent magnetic levitation belt conveyor maglev support system was simulated. The simulation results showed that conveyor lateral force and offset could have a monotonically increasing relationship. If the belt shifted, it would cause an increase in lateral force, which could cause conveyor belt further deviation. The traditional physical anti-deviation measures couldn’t apply to non-contact suspension support. In order to effectively solve the permanent magnetic levitation belt conveyor deviation problem, an automatic offset device was designed and the corresponding control strategy was proposed. The value of the lateral …
Research On Influence Factors Of Head And Face’S Heat Accumulation In Anti-Riot Helmet Based On Simulation,
2020
1. Equipment Engineering College, Engineering University of CAPF, Xi'an 710086, China;;
Research On Influence Factors Of Head And Face’S Heat Accumulation In Anti-Riot Helmet Based On Simulation, Hongwei Zhuang, Dehai Xiang, Fadong Zhao, Weiwei Zhuang
Journal of System Simulation
Abstract: Aiming at the serious heat accumulation problem to soldiers’ head and face while wearing anti-riot helmets in high temperatures, a 3D model of human head and an anti-riot helmet were established based on CT image data and GA294-2012 Standard of Anti-riot Helmet. The Pennes bio-heat transfer equation was chosen as the control equation, then a "head-helmet" heat transfer model was built. On the platform of ANSYS-Fluent software, the three-dimensional thermal process of "head-helmet" system were numerically simulated. And on the basis the influence brought from anti-riot helmet shell material, buffer layer material and vent hole to head facial …
