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Artificial Intelligence and Robotics Commons™

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2020

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Articles 271 - 300 of 1914

Full-Text Articles in Artificial Intelligence and Robotics

Simulation Study Of Nodes Deployment Of Underwater Sensor Network Based On Reliability Coverage Algorithm, Juwei Zhang, Yachuang Liu Sep 2020

Simulation Study Of Nodes Deployment Of Underwater Sensor Network Based On Reliability Coverage Algorithm, Juwei Zhang, Yachuang Liu

Journal of System Simulation

Abstract: For 3D nodes-deployment of the underwater sensor networks, the definitions of detection reliability and reliability coverage was proposed. According to the advanced D-S theory of evidence, the change of reliability coverage in underwater sensor networks' detection area was analyzed, and a Nodes-deployment Algorithm Based on Advanced D-S Theory of Evidence and Prior Probability (NAAEP) combining with the prior probability of target nodes distribution was proposed. The value of the target perceived reliability was transformed into a virtual potential field force that a node was suffered in size, and the position of the nodes was adjusted according to …

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Simulation Research On Airborne Lidar Bathymetry System, Chengqun Fu, Xiuyuan Lü, Wang Yong, Huaixiao Wang Sep 2020

Simulation Research On Airborne Lidar Bathymetry System, Chengqun Fu, Xiuyuan Lü, Wang Yong, Huaixiao Wang

Journal of System Simulation

Abstract: The simulations were performed to study the Airborne Lidar Bathymetry System by application of Monte Carlo model and Phenomenological model to describe the transmission of Gauss laser beam in ocean water. Research on the relation between seawater dielectric attenuation coefficient and maximum detecting depth was conducted. The change of facular size with detecting depth was explored. Simulation results show that two models are appropriate for different instance. Part of the Airborne Lidar's parameters was analyzed by the two models. According to simulation results, the Airborne Lidar scheme is demonstrated to be feasible.

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Energy Entropy And Particle Swarm Optimization Bp Neural Network Of Fault Diagnosis Techniques Of Coal Mine Cable, Zhiling Ren, Yuanyuan Zhang Sep 2020

Energy Entropy And Particle Swarm Optimization Bp Neural Network Of Fault Diagnosis Techniques Of Coal Mine Cable, Zhiling Ren, Yuanyuan Zhang

Journal of System Simulation

Abstract: Aimed at solving the problem of the type of fault difficult to identification when power feeder of coal mine occurred single-phase ground fault, in order to ensure coal mines production safety, a method of fault diagnosis based on wavelet packet energy entropy (WP-EE) and combined with particle swarm optimization neural network was proposed. The type of cable fault was simulated by Matlab, the acquired post-fault voltage signal was performed the three layers wavelet Packet decomposition, the fault characteristic signals was divided into eight segments by frequency, characteristics calculated the entropy energy spectrum according to the information entropy theory, …

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Study On Equipment Domain Ontology Construction For Integration Of Data Semantics, Li Kang, Xinming Li, Liu Dong Sep 2020

Study On Equipment Domain Ontology Construction For Integration Of Data Semantics, Li Kang, Xinming Li, Liu Dong

Journal of System Simulation

Abstract: Equipment domain ontology could accurately describe definition of concepts in the field and the relationships between the concepts, which is foundation and prerequisite in semantic integration of equipment data. With the analysis of the existing methods, a semi-automatic domain ontology construction method was proposed. The top-level domain ontology was built under the standard of authoritative documents in the equipment field. An initial partial ontology was generated from the equipment database by mapping. The ontology was standardized through mapping process. The results of the experiment show that this method can build equipment domain ontology which provides a unified global …

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Design Of Iaas Mode “Cloud Training” System, Zhijia Chen, Yuanchang Zhu, Yanqiang Di, Shaochong Feng Sep 2020

Design Of Iaas Mode “Cloud Training” System, Zhijia Chen, Yuanchang Zhu, Yanqiang Di, Shaochong Feng

Journal of System Simulation

Abstract: There are some problems in equipment web simulating training, including poor sense of reality, low efficiency of training and high difficulty of management. To solve those problems, Infrastructure as a Service mode “cloud training” was proposed. The architecture and operation flow were explained in detail and the key technologies of “cloud training” were focused on. By GPU virtualization technology, the problem of client 3D image processing capability was solved. According to the characters of simulation training, the user requirement model was established. Fuzzy algorithm was introduced to realize resource dynamic scheduling. To assure the stability and reliability, …

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Clustering Algorithm Of Quantum Self-Organization Network Based On Bloch Spherical Rotation, Shuyun Yang, Panchi Li Sep 2020

Clustering Algorithm Of Quantum Self-Organization Network Based On Bloch Spherical Rotation, Shuyun Yang, Panchi Li

Journal of System Simulation

Abstract: To enhance the clustering ability of self-origanization network, a quantum-inspired self-organization clustering algorithm was proposed based on Bloch spherical rotation. The clustering samples were mapped to the qubits on the Bloch sphere by taking all the sample values as the phases of the qubits, and the all weight values in the competitive layer were mapped to the qubits randomly distributed on the Bloch sphere. Then, the winning node was obtained by computing the spherical distance between sample and weight value, and the weight values of the winning nodes and its neighborhood were updated by rotating them to the sample …

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Decision Strategy Models Of Merge Influence Area For Outside Vehicles Based On Vehicle-Vehicle Communication, Xiaofang Yang, Guo Qian, Fu Qiang Sep 2020

Decision Strategy Models Of Merge Influence Area For Outside Vehicles Based On Vehicle-Vehicle Communication, Xiaofang Yang, Guo Qian, Fu Qiang

Journal of System Simulation

Abstract: In the on-ramp merging area, appropriate driving decisions should be made by observing the running environment and estimating the driving characteristics of the surrounding vehicles, which usually led to the inordinate traffic flow. To solve this problem, the decision strategy models were built for vehicles in the on-ramp merging area, and the operating rules for the new decision strategy were updated. Furthermore, the space-time trajectory, the lane changing in merging and upstream area and the average speed in the two different circumstances were analyzed by numerical experiments. The results show that in the condition of vehicle-vehicle communication environment, …

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Study On Simulation Of Turning Burr Formation Based On Finite Element Method, Yunming Zhu, Jingui Huang, Guicheng Wang, Chen Yun Sep 2020

Study On Simulation Of Turning Burr Formation Based On Finite Element Method, Yunming Zhu, Jingui Huang, Guicheng Wang, Chen Yun

Journal of System Simulation

Abstract: According to the relative motion of tool and workpiece, a new mechanical-thermal coupling finite element model of turning burr formation was established. It adopted supporting plate method to eliminate the influence of workpiece deformation which remained on the workpiece side. Operational efficiency improved greatly under this model. Based on the analysis of simulation results, it is discovered that there are both bending deflection and partly cutting occurred on cutting layer material. AISI1045 steel turning experiment was conducted, it is found that the results of simulation are close to the experimental. The model provides an effective way for analyzing the …

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Research Of Marshalling Yard Dispersion Based On Simulation In Container Terminal, Yu Hang, Le Meilong Sep 2020

Research Of Marshalling Yard Dispersion Based On Simulation In Container Terminal, Yu Hang, Le Meilong

Journal of System Simulation

Abstract: As development of the precision management in the container terminal, close attention was paid to the research on the optimization of the marshalling yard template. The new concept called the yard dispersion in the container yard template was proposed and the professional simulation software Flexsim-CT was used to build a container handling simulation model which includes berth, quay crane, yard scheduling, yard crane, and trucks. The impact of the different yard dispersion on the total handling time and the efficiency of the quay crane under varying service burden was analyzed. The case study combines the simulation model with …

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Optimization Design For A New Type Throttle Valve Of Managed Pressure Drilling Based On Response Surface Methodology, Guorong Wang, Chu Fei, Hongkang Fan, Siyu Tao, Zhu Hao, Jiang Long Sep 2020

Optimization Design For A New Type Throttle Valve Of Managed Pressure Drilling Based On Response Surface Methodology, Guorong Wang, Chu Fei, Hongkang Fan, Siyu Tao, Zhu Hao, Jiang Long

Journal of System Simulation

Abstract: The Kriging response surface of single parameter and double parameters versus mass loss of valve spool about bonnet length, bonnet external radius and chamber inner radius of a new type throttle valve used in Managed Pressure Drilling was carried out by using CFX and ANSYS-Design Exploration. The results show that these dimensions have significant influence on erosion mass loss of valve spool. In order to improve the anti-erosion ability of the spool and enhance the service life of the whole valve, the multi-objective genetic algorithm was used for dimensional optimization design of the mentioned variables. After optimization …

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Behavior Recognition Combining Regional Optical Flow Features And Temporal Templates, Manyi Wang, Yaling Song, Li Yu, Zhang Liang Sep 2020

Behavior Recognition Combining Regional Optical Flow Features And Temporal Templates, Manyi Wang, Yaling Song, Li Yu, Zhang Liang

Journal of System Simulation

Abstract: A method was proposed to recognize human behavior, which combined the wavelet moments of temporal templates and the speed feature by optical flow. The wavelet moments are not only rotation, translation and scale invariance, but also have the multi-scale characteristics of wavelet. The shape feature of the motion history image and motion energy image can be described. To simple motions, it's effectively, but it can't present the speed information. Regional optical flow was calculated to describe the direction and amplitude features of motion by Lucas-Kanade algorithm. It could make up shortcomings of wavelet moment without speed information. Being …

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An Ecosystem Approach To Ethical Ai And Data Use: Experimental Reflections, Mark Findlay, Josephine Seah Sep 2020

An Ecosystem Approach To Ethical Ai And Data Use: Experimental Reflections, Mark Findlay, Josephine Seah

Research Collection Yong Pung How School Of Law

While we have witnessed a rapid growth of ethics documents meant to guide artificial intelligence (AI) development, the promotion of AI ethics has nonetheless proceeded with little input from AI practitioners themselves. Given the proliferation of AI for Social Good initiatives, this is an emerging gap that needs to be addressed in order to develop more meaningful ethical approaches to AI use and development. This paper offers a methodology-a 'shared fairness' approach-aimed at identifying AI practitioners' needs when it comes to confronting and resolving ethical challenges and to find a third space where their operational language can be married with …

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Rethinking Mistake In The Age Of Algorithms: Quoine Pte Ltd V B2c2 Ltd, Vincent Ooi, Kian Peng Soh Sep 2020

Rethinking Mistake In The Age Of Algorithms: Quoine Pte Ltd V B2c2 Ltd, Vincent Ooi, Kian Peng Soh

Research Collection Yong Pung How School Of Law

Good traders remove emotion from the decision-making process. Automated trading algorithms have enabled this, allowing one to trade round the clock, and without the constant need to monitor one’s investments. But software has gremlins. Given the vast amounts of money involved in such trades, it was only a matter of time before disputes involving automated trading software came before the courts. The decision in Quoine v B2C2 (“Quoine”) represents the first time an apex court in the Commonwealth has ruled on the applicability of contractual principles to situations involving automated trading software.

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The Future Of Work Now: The Multi-Faceted Mall Security Guard At A Multi-Faceted Jewel, Thomas H. Davenport, Steven M. Miller Sep 2020

The Future Of Work Now: The Multi-Faceted Mall Security Guard At A Multi-Faceted Jewel, Thomas H. Davenport, Steven M. Miller

Research Collection School Of Computing and Information Systems

One of the most frequently-used phrases at business events these days is “the future of work.” It’s increasingly clear that artificial intelligence and other new technologies will bring substantial changes in work tasks and business processes. But while these changes are predicted for the future, they’re already present in many organizations for many different jobs. The job and incumbents described below are an example of this phenomenon. Steve Miller of Singapore Management University and I co-authored the story.

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Bus Frequency Optimization: When Waiting Time Matters In User Satisfaction, Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng Sep 2020

Bus Frequency Optimization: When Waiting Time Matters In User Satisfaction, Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng

Research Collection School Of Computing and Information Systems

Reorganizing bus frequency to cater for the actual travel demand can save the cost of the public transport system significantly. Many, if not all, existing studies formulate this as a bus frequency optimization problem which tries to minimize passengers’ average waiting time. However, many investigations have confirmed that the user satisfaction drops faster as the waiting time increases. Consequently, this paper studies the bus frequency optimization problem considering the user satisfaction. Specifically, for the first time to our best knowledge, we study how to schedule the buses such that the total number of passengers who could receive their bus services …

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Zone Path Construction (Zac) Based Approaches For Effective Real-Time Ridesharing, Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet Sep 2020

Zone Path Construction (Zac) Based Approaches For Effective Real-Time Ridesharing, Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet

Research Collection School Of Computing and Information Systems

Real-time ridesharing systems such as UberPool, Lyft Line, GrabShare have become hugely popular as they reduce the costs for customers, improve per trip revenue for drivers and reduce traffic on the roads by grouping customers with similar itineraries. The key challenge in these systems is to group the "right" requests to travel together in the "right" available vehicles in real-time, so that the objective (e.g., requests served, revenue or delay) is optimized. This challenge has been addressed in existing work by: (i) generating as many relevant feasible (with respect to the available delay for customers) combinations of requests as possible …

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Understanding The Complex Ethical Landscape Of Artificial Intelligence Adoptions, Chrissann R. Ruehle Aug 2020

Understanding The Complex Ethical Landscape Of Artificial Intelligence Adoptions, Chrissann R. Ruehle

USF Tampa Graduate Theses and Dissertations

Although Artificial Intelligence (AI) has existed since the 1950’s, it has experienced a series of expansions and declines over the years. Currently, AI is on an upward trajectory and has prompted the fourth industrial revolution as many scientists have noted. Some firms have rapidly embraced this technology and experienced growth while others have been slow to adopt. Naturally, this expansion often has societal impacts. The aim of this study is to explore ethical considerations that arise during the adoption of this technology. This research addressed three questions: 1. How do market and regulatory forces reportedly shape Artificial Intelligence adoptions? 2. …

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Prerequisite Course Recommendation Based On Course Description And Students’ Grades, Haozhe Zhou Aug 2020

Prerequisite Course Recommendation Based On Course Description And Students’ Grades, Haozhe Zhou

The Journal of Purdue Undergraduate Research

No abstract provided.

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Estimating Vehicular Traffic Intensity With Deep Learning And Semantic Segmentation, Logan Bradley-Trietsch Aug 2020

Estimating Vehicular Traffic Intensity With Deep Learning And Semantic Segmentation, Logan Bradley-Trietsch

The Journal of Purdue Undergraduate Research

No abstract provided.

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Paralleling Simulation Of Operation Plan Based On Decision Point Controlling, Zhanguang Cao, Pinggang Yu, Kuo Wang Aug 2020

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 …

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Model And Simulation Of Virtual Character Based On Real-Time Sensor Data-Driven, Lufeng Luo, Xiangjun Zou, Zhang Cong, Xie Lei Aug 2020

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 …

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Method For Auto-Generating Cartoon Based On A Set Of Portrait Dictionary, Jingjing Sun, Jiajun Yu, Li Bei, Zhifeng Xie, Youdong Ding Aug 2020

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 …

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Neural Network Model Of Information Fusion For Coal Storage And Kinetic Energy Of Ball Mill, Bai Yan, He Fang Aug 2020

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 …

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Modeling Of High-Speed Railway Operation Informational Interaction Process Using Oopn, Liping Feng, Qiyuan Peng, Wen Chao Aug 2020

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.

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Application Of Domain Knowledge Representation In Simulation Tutoring For Weapon Utilization, Zhang Chi, Danhua Peng, Kedi Huang Aug 2020

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 …

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Method For Auto-Detection Of Tracking Moving Objects In Complicated Dynamic Environment, Yanling Wang, Guanglun Li, Lin Xiao Aug 2020

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 …

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Robust Image Cloning With Color Harmonization, Li Bei, Wang Hao, Jiajun Yu, Zhifeng Xie, Youdong Ding Aug 2020

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 …

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Multi-Objective Cuckoo Search Algorithm, Xingshi He, Li Na, Xinshe Yang, Yu Bing Aug 2020

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 …

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Simulation Analysis Of Rutting Length Based On Driving Safety Under Condition Of Road Waterlogging, Zhang Min, Xinxin Guo, Zhang Chi Aug 2020

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 …

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Security Model For Multi-Level Interaction Based On Portable Devices, Xuesi Zhang, Bin Yu Aug 2020

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 …

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