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Articles 11341 - 11370 of 25627

Full-Text Articles in Computer Engineering

A New Method On Trajectory Planning For Mobile Robots Using Bezier Curves, Sun Lei, Lishuang Zhang, Zhou Lu, Xuebo Zhang Jan 2019

A New Method On Trajectory Planning For Mobile Robots Using Bezier Curves, Sun Lei, Lishuang Zhang, Zhou Lu, Xuebo Zhang

Journal of System Simulation

Abstract: In view ofthe trajectory planning for the mobile robots, an efficient method based on Bezier curves is proposed, which produces better solution with shorter path and faster trajectory, compared with the existing methods. The problem of trajectory planning is divided into path planning and velocity planning. A Bezier curve is used to connect each two line-segments to obtain shorter paths. It is proved that the order of the used Bezier curves is at least five to ensure the curvature continuity of the whole path. Taking a differential-driven wheeled mobile as an example, to follow the planned path steadily and …

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A Simulation Study Of Appointment Rulesin Ct Department, Li Jun, Xuemei Lin, Zhou Jie Jan 2019

A Simulation Study Of Appointment Rulesin Ct Department, Li Jun, Xuemei Lin, Zhou Jie

Journal of System Simulation

Abstract: A discrete event simulation model was established onExtendSimsoftware, , with the average patient waiting time, average idle time of the examination rooms and total cost which wasthe linearlyweighted sum of them being as performance measures.Estimated value and sample data of these performance measures of 9 basic appointment scheduling rules and 9 adjusted ones were produced by the de-duplication methodso that analysis of variance and efficient frontier were carried out to compare the effects of different “staggered reservation rules” on this queuing system.It was showed that, for different beneficiaries (patients, hospital or both), the appointment scheduling rules …

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Vibration Simulation And Damping Ratio Optimization Of Seat Suspension System For High-Speed Rail, Changcheng Zhou, Yuewei Yu, Leilei Zhao Jan 2019

Vibration Simulation And Damping Ratio Optimization Of Seat Suspension System For High-Speed Rail, Changcheng Zhou, Yuewei Yu, Leilei Zhao

Journal of System Simulation

Abstract: According to the 1/4 body-seat vertical vibration model of high-speed rail, an optimal design simulation model for damping ratio of seat suspension was established. An optimal design mathematical model for damping ratio of seat suspension was built with the optimal ride comfort as the target. Taking the track vertical irregularity as input and the seat suspension vertical stroke as constraint condition, an optimization design method for damping ratio of seat suspension based on track excitation was presented. With a practical example, the damping ratio was designed and validated by simulation. The results show that the damping ratio value …

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Optimal Control And Simulation Of Hard Shoulder Running On Highways, Ruimin Li, Ye Zhen, Bin Li Jan 2019

Optimal Control And Simulation Of Hard Shoulder Running On Highways, Ruimin Li, Ye Zhen, Bin Li

Journal of System Simulation

Abstract: This paper summarizes the problems in the operation of hard shoulder running (HSR). A new algorithm for optimizing HSR on highways is proposed, which aims to minimize the total time spent (TTS) in the whole network. Based on the METANET model of highways, the algorithm utilizes genetic algorithm and sliding windows technique to forecast and optimize the operation of HSR under different constraint conditions and target functions. The strategy is tested on the I-80E highway in California. The experimental results show that when the change frequency of HSR is less than or equal to 14 during a sliding window …

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Simulation Of Missile Head Cover Separation And Landing Locations, Tian Hao, Mu Zhou, Huitong Li, Zhao Yang Jan 2019

Simulation Of Missile Head Cover Separation And Landing Locations, Tian Hao, Mu Zhou, Huitong Li, Zhao Yang

Journal of System Simulation

Abstract: Some missiles use head cover to protect the internal equipment during the launching process. In order to prevent the head cover from damaging the people or equipment after separation, researchers need to predict the landing position range and take protective measures. This paper designs a separation scheme for a missile head cover separation based on solid propellant gas generator and solid rocket. In this study, we establish a dynamic simulation model of head cover separation and falling procedure. The simulation calculation of the head cover location range considering multiple factors using Monte-Carlo method is developed. And the motional …

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Fast False Scene Jamming Algorithm For Sar-Gmti Based On Moving Jamming Station, Mingxing Fang, Daping Bi, Aiguo Shen Jan 2019

Fast False Scene Jamming Algorithm For Sar-Gmti Based On Moving Jamming Station, Mingxing Fang, Daping Bi, Aiguo Shen

Journal of System Simulation

Abstract: Traditional false scene jamming of SAR is invalid for SAR-GMTI system, which does not have the feature of moving targets, so a fast false scene jamming algorithm for SAR-GMTI based on moving jamming station is proposed. Through reasonable simplification of the traditional algorithm, the fast false scene jamming algorithm of matrix form is put forward. The method is proposed to take advantage of both fast false scene jamming algorithm and moving jamming station, so it can produce false scene jamming with real moving feature. It not only solves the real-time problem of traditional false scene jmming, but …

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Research On Dynamic Framed Binary Tree Anti-Collision Algorithm For Rfid System, Xiaohong Zhang, Weihui Zhou Jan 2019

Research On Dynamic Framed Binary Tree Anti-Collision Algorithm For Rfid System, Xiaohong Zhang, Weihui Zhou

Journal of System Simulation

Abstract: Based on dynamic frame-slotted ALOHA algorithm and binary search tree algorithm, a dynamic framed binary tree (DFBT) anti-collision algorithm is presented to solve the problem of multi-tag collision in radio frequency identification (RFID). Vogt algorithm is adopted to estimate tags number, then the dynamic frame-slotted ALOHA (DFSA) algorithm is used to identify tags, and the unidentified tags are extracted and the highest collision bit is judged by readers. The highest collision tags are grouped by the collision bit within the binary search tree (BST) algorithm. Simulation results show that the DFBT algorithm can improve the identification efficiency and stability …

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Smooth Transition Method Over Entire Speed Range Of Switched Reluctance Motor, Diansheng Sun Jan 2019

Smooth Transition Method Over Entire Speed Range Of Switched Reluctance Motor, Diansheng Sun

Journal of System Simulation

Abstract: In order to smoothly switch different control modes of switched reluctance motor under the condition of low speed and high speed, a novel scheme using function fitting method to control turn-on angle, turn-off angle and phase current chopping is proposed. The active disturbance rejection speed control system is structured for switched reluctance motor in order to restrain all kinds of disturbance and improve the dynamic performance. Simulation results indicate that the principle of the method is correct and the turn-on angle, turn-off angle and phase current chopping is coordinated to realize the smooth switching of different control modes with …

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Formation Mechanism And Simulation Analysis Of Railgun Armature Electromagnetic Transition, Zhiheng Wang, Wan Mei, Xiaojiang Li Jan 2019

Formation Mechanism And Simulation Analysis Of Railgun Armature Electromagnetic Transition, Zhiheng Wang, Wan Mei, Xiaojiang Li

Journal of System Simulation

Abstract: Armature transition of railgun causes rails erosion and change of launching parameters, which is one of the key problems restricting the performance of railgun. The formation mechanism of armature transition at the down-slope of driving current is analyzed. The armature transition estimation model and electromagnetic parameters calculation model are given. The formation process of armature transition at the down-slope of driving current is simulated by AYNSYS Workbench. The current and magnetic field distribution are simulated, so as the armature deformation caused by the armature electromagnetic force. The effect of current dropping rate on armature transition is analyzed. The …

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Modified Fractional Order Sliding Model Control For Dc Speed Regulating System, Zhicheng Zhao, Zhitao Zhao, Jinggang Zhang, Xianjiao Zhao Jan 2019

Modified Fractional Order Sliding Model Control For Dc Speed Regulating System, Zhicheng Zhao, Zhitao Zhao, Jinggang Zhang, Xianjiao Zhao

Journal of System Simulation

Abstract: An improved fractional order sliding model control (FOSMC) is proposed for DC speed regulating system to eliminate static error easily caused by disturbance in sliding model control. Second order mathematical model is established through taking the derivative of first-order mathematical model of DC speed regulating system. The theory of fractional calculus is introduced to the switching function of sliding mode, and fractional sliding model is designed combining exponential reaching law and second order mathematical model. The control signal of voltage can be obtained through taking output of the controller and integrator in series. Stability analysis of the system is …

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A Mppt Control Method Of Wind Turbines With Nonsingular And Fast Terminal Sliding Mode, Dazhong Li, Wu Feng Jan 2019

A Mppt Control Method Of Wind Turbines With Nonsingular And Fast Terminal Sliding Mode, Dazhong Li, Wu Feng

Journal of System Simulation

Abstract: In order to improve the energy capture efficiency of doubly-fed induction generator (DFIG), a control method is designed based on direct speed control (DSC) to achieve maximum power point tracking (MPPT). An effective wind speed estimator based on high-degree cubature Kalman filter (HCKF) and Newton-Raphson method (NR) is proposed for solving the difficulty in obtaining effective wind speed using traditional control strategy. A speed controller based on nonsingular fast terminal sliding mode surface is designed to obtain a faster speed response for the speed loop. The numerical simulation research of the 2.4MW wind turbine under rapidly variable wind …

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Relevance Analysis Of Deicing Parameters And Deicing Efficiency Of Aircraft Ground, Bin Chen, Liwen Wang Jan 2019

Relevance Analysis Of Deicing Parameters And Deicing Efficiency Of Aircraft Ground, Bin Chen, Liwen Wang

Journal of System Simulation

Abstract: Aircraft ground freezing could lead to potential danger and delay for flight. To alleviate these problems, the main method is to use the deicing fluids to clean ice or snow on the aircraft body, which lacks of reference of the deicing fluids parameters and efficiency. To study the effect of the deicing fluids parameters on the aircraft deicing efficiency, the deicing mechanism is analyzed.The black box mathematical model of the deicing process is generalized abstractly. The deicing process is divided into two subprocesses to establish the deicing model.The relevance between the deicing fluids parameters and deicing efficiency is studied …

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A Novel Algorithm For Improving Fairness Between Uplink And Downlink Flows In Heterogeneous Network, Peiyu Li, Zheqing Li, Wang Hui, Xia Qian Jan 2019

A Novel Algorithm For Improving Fairness Between Uplink And Downlink Flows In Heterogeneous Network, Peiyu Li, Zheqing Li, Wang Hui, Xia Qian

Journal of System Simulation

Abstract: In order to improve the fairness between uplink and downlink flows in AP optimization, a novel algorithm called FOUD(fairness over uplink and downlink) is proposed.Considering the influence of the attempt limit and the bit error rate of wireless, the FOUD algorithm modeling of AP and wireless stations is studied separately by using two-dimensional Markov chain, which derives the probability of data sending under the condition of different bit error rate and different number of uplink and downlink flows. Simulation results show that FOUD can improve the fairness of the uplink and downlink bandwidth as well as the …

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Frequency Domain Analysis Of Common Configuration Semi-Submersible Drilling Platform Based On System Simulation, Chen Bo, Zhiyong Yu, Lü Yong, Xiaojian Li Jan 2019

Frequency Domain Analysis Of Common Configuration Semi-Submersible Drilling Platform Based On System Simulation, Chen Bo, Zhiyong Yu, Lü Yong, Xiaojian Li

Journal of System Simulation

Abstract: To analysis of 4 semi-submersible drilling platform hydrodynamic performance providing a comprehensive guidance for system selection. The 1:1 3D wet surface model is established by ANSYS and numerical simulation is carried out based on the dynamic analysis software AQWA. Simulation results show that longitudinal waves impact the surge, heaving and pitching motion a lot, beam seas have large effects on the sway, heave, roll motion vertical heave response increases significantly, as will as surge, sway, heave damping coefficient of vector direction and the added mass coefficient of algebraic. We can not only increase the number of columns to …

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A Method Of Finding The Shortest Path Of Dynamic Networks, Lunwen Wang, Zhang Ling Jan 2019

A Method Of Finding The Shortest Path Of Dynamic Networks, Lunwen Wang, Zhang Ling

Journal of System Simulation

Abstract: We analyze the research status of finding the shortest path of dynamic networks, analyze the complexity of getting the shortest path, study the relationship between the structure of the dynamic networks and finding the shortest path of the dynamic networks. It is proved that dynamic networks defined by velocity automatically meet weak FIFO’s condition. The networks whose passing function of any side is not decreasing function equals dynamic networks which use velocity. The sufficient condition of directly using Dijkstra algorithm to get the shortest path is that the networks must meet weak FIFO’s condition. How to build a …

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Fuzzy Sliding Backstepping Mode Control For Flight Simulator Servo Based On Friction And Disturbance Compensation, Huibo Liu, Shanglei Liu Jan 2019

Fuzzy Sliding Backstepping Mode Control For Flight Simulator Servo Based On Friction And Disturbance Compensation, Huibo Liu, Shanglei Liu

Journal of System Simulation

Abstract: Considering friction, modeling errors and other uncertainties of flight simulator servo system, a compensation strategy which combines model-based friction compensation with nonlinear disturbance observer compensation was proposed. First, the friction is modeled , whose parameters are identified by using genetic algorithm, and using the identified model to compensate. Second, using a nonlinear disturbance observer to estimate the modeling errors, friction less-compensation or over-compensation and other uncertainties, and using this observed value to compensate. The system adopted sliding backstepping controller to ensure the stabilization of the system. Finally, the fuzzy algorithm is adopted to adjust the switching gain of sliding …

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Preliminary Study Of Modeling And Simulation Technology Oriented To Neo-Type Artificial Intelligent Systems, Libo Hu, Xudong Chai, Zhang Lin, Li Tan, Duzheng Qing, Tingyu Lin, Liu Yang Jan 2019

Preliminary Study Of Modeling And Simulation Technology Oriented To Neo-Type Artificial Intelligent Systems, Libo Hu, Xudong Chai, Zhang Lin, Li Tan, Duzheng Qing, Tingyu Lin, Liu Yang

Journal of System Simulation

Abstract: A brief interpretation of the rapidly developing “New Internet+ Big Data+ Artificial Intelligence+” era is given in the paperand the essence and the architectureof neo-type artificial intelligence systems are explained. The meaning of neo-type artificial intelligence system oriented modelling and simulation technology is proposed and the new challenges they are facing are discussed. The research contents and preliminaryresults on neo-type artificial intelligence system oriented modelling and simulation technology are given, which includeneo-type artificial intelligence system oriented modelling/secondary modelling, intelligent simulation computer, smart cloud simulation and intelligent simulation hardware/software supporting system technology, and intelligent simulation system application engineering technology. Several …

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Toward The Design And Implementation Of Traceability Engineering Tool Support, Subik Pokharel, Hassan Reza Jan 2019

Toward The Design And Implementation Of Traceability Engineering Tool Support, Subik Pokharel, Hassan Reza

Computer Science Faculty Publications

Requirements of a system keep on changing based on the need of stakeholders or the system developers, making requirement engineering an important aspect in software development. This develops a need for appropriate requirement change management. The importance of requirements traceability is defining relationships between the requirements and artefacts extracted by the stakeholder during the software development life-cycle and gives vital information to encourage software understanding. In this paper, we have concentrated on developing a tool for requirement traceability that can be used to extend the requirement elicitation and identification of system-wide qualities using the notion of quality attribute scenarios to …

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A Half- Yearly E-Newsletter Of The Department Of Computer Science And Engineering, Manipal Institute Of Technology -Jan 2019, Ashalatha Nayak Jan 2019

A Half- Yearly E-Newsletter Of The Department Of Computer Science And Engineering, Manipal Institute Of Technology -Jan 2019, Ashalatha Nayak

Faculty work

No abstract provided.

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Sr Education Group, A Leading Education Research Publisher, Ranked Nova Southeastern University (Nsu) Within Their 2019 Lists Of Best Online Colleges, Nova Southeastern University Jan 2019

Sr Education Group, A Leading Education Research Publisher, Ranked Nova Southeastern University (Nsu) Within Their 2019 Lists Of Best Online Colleges, Nova Southeastern University

College of Computing and Engineering News Archive

SR Education Group, a leading education research publisher, ranked Nova Southeastern University (NSU) within their 2019 lists of best online colleges. The group recognized NSU’s College of Computing and Engineering for its Master of Science in Computer Science and Engineering program, ranking it 13 out of 19 in “Best Online Master's in Computer Science Programs.” The college was also ranked 6 out of 8 for “Best Online Master's in Information Technology (IT) Degrees.”

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Adapted K-Nearest Neighbors For Detecting Anomalies On Spatio–Temporal Traffic Flow, Youcef Djenouri, Asma Belhadi, Jerry Chun-Wei Lin, Alberto Cano Jan 2019

Adapted K-Nearest Neighbors For Detecting Anomalies On Spatio–Temporal Traffic Flow, Youcef Djenouri, Asma Belhadi, Jerry Chun-Wei Lin, Alberto Cano

Computer Science Publications

Outlier detection is an extensive research area, which has been intensively studied in several domains such as biological sciences, medical diagnosis, surveillance, and traffic anomaly detection. This paper explores advances in the outlier detection area by finding anomalies in spatio-temporal urban traffic flow. It proposes a new approach by considering the distribution of the flows in a given time interval. The flow distribution probability (FDP) databases are first constructed from the traffic flows by considering both spatial and temporal information. The outlier detection mechanism is then applied to the coming flow distribution probabilities, the inliers are stored to enrich the …

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Utilizing Deep Neural Networks For Brain–Computer Interface-Based Prosthesis Control, Thomas C. Noel, Brian R. Snider Jan 2019

Utilizing Deep Neural Networks For Brain–Computer Interface-Based Prosthesis Control, Thomas C. Noel, Brian R. Snider

Faculty Publications - Department of Electrical Engineering and Computer Science

Limb amputations affect a significant portion of the world’s population every year. The necessity for these operations can be associated with related health conditions or a traumatic event. Currently, prosthetic devices intended to alleviate the burden of amputation lack many of the premier features possessed by their biological counterparts. The foremost of these features are agility and tactile function. In an effort to address the former, researchers here investigate the fundamental connection between agile finger movement and brain signaling. In this study each subject was asked to move his or her right index finger in sync with a time-aligned finger …

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Analyzing Public View Towards Vaccination Using Twitter, Mahajan Rutuja Jan 2019

Analyzing Public View Towards Vaccination Using Twitter, Mahajan Rutuja

Browse all Theses and Dissertations

Educating people about vaccination tends to target vaccine acceptance and reduction of hesitancy. Social media provides a promising platform for studying public perception regarding vaccination. In this study, we harvested tweets over a year related to vaccines from February 2018 to January 2019. We present a two-stage classifier to: (1) classify the tweets as relevant or non-relevant and (2) categorize them in terms of pro-vaccination, anti-vaccination, or neutral outlook. We found that the classifier was able to distinguish clearly between anti-vaccination and pro-vaccination tweets, but also misclassified many of these as neutral. Using Latent Dirichlet Allocation, we found that two …

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An Investigation Into The Predictive Capability Of Customer Spending In Modelling Mortgage Default, Donal Finn [Thesis] Jan 2019

An Investigation Into The Predictive Capability Of Customer Spending In Modelling Mortgage Default, Donal Finn [Thesis]

Dissertations

The mortgage arrears crisis in Ireland was and is among the most severe experienced on record and although there has been a decreasing trend in the number of mortgages in default in the past four years, it still continues to cause distress to borrowers and vulnerabilities to lenders. There are indications that one of the main factors associated with mortgage default is loan affordability, of which the level of disposable income is a driver. Additionally, guidelines set out by the European Central Bank instructed financial institutions to adopt measures to further reduce and prevent loans defaulting, including the implementation and …

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Emerging Roles Of Virtual Patients In The Age Of Ai, C. Donald Combs, P. Ford Combs Jan 2019

Emerging Roles Of Virtual Patients In The Age Of Ai, C. Donald Combs, P. Ford Combs

Computational Modeling & Simulation Engineering Faculty Publications

Today's web-enabled and virtual approach to medical education is different from the 20th century's Flexner-dominated approach. Now, lectures get less emphasis and more emphasis is placed on learning via early clinical exposure, standardized patients, and other simulations. This article reviews literature on virtual patients (VPs) and their underlying virtual reality technology, examines VPs' potential through the example of psychiatric intake teaching, and identifies promises and perils posed by VP use in medical education.

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Analyzing Twitter Feeds To Facilitate Crises Informatics And Disaster Response During Mass Emergencies, Arshdeep Kaur Jan 2019

Analyzing Twitter Feeds To Facilitate Crises Informatics And Disaster Response During Mass Emergencies, Arshdeep Kaur

Dissertations

It is a common practice these days for general public to use various micro-blogging platforms, predominantly Twitter, to share ideas, opinions and information about things and life. Twitter is also being increasingly used as a popular source of information sharing during natural disasters and mass emergencies to update and communicate the extent of the geographic phenomena, report the affected population and casualties, request or provide volunteering services and to share the status of disaster recovery process initiated by humanitarian-aid and disaster-management organizations. Recent research in this area has affirmed the potential use of such social media data for various disaster …

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An Investigation Of Three Subjective Rating Scales Of Mental Workload In Third Level Education, Nha Vu Thanh Nguyen Jan 2019

An Investigation Of Three Subjective Rating Scales Of Mental Workload In Third Level Education, Nha Vu Thanh Nguyen

Dissertations

Mental Workload assessment in educational settings is still recognized as an open research problem. Although its application is useful for instructional design, it is still unclear how it can be formally shaped and which factors compose it. This paper is aimed at investigating a set of features believed to shape the construct of mental workload and aggregating them together in models trained with supervised machine learning techniques. In detail, multiple linear regression and decision trees have been chosen for training models with features extracted respectively from the NASA Task Load Index and the Workload Profile, well-known self-reporting instruments for assessing …

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Multi-Sensory Deep Learning Architectures For Slam Dunk Scene Classification, Paul Minogue Jan 2019

Multi-Sensory Deep Learning Architectures For Slam Dunk Scene Classification, Paul Minogue

Dissertations

Basketball teams at all levels of the game invest a considerable amount of time and effort into collecting, segmenting, and analysing footage from their upcoming opponents previous games. This analysis helps teams identify and exploit the potential weaknesses of their opponents and is commonly cited as one of the key elements required to achieve success in the modern game. The growing importance of this type of analysis has prompted research into the application of computer vision and audio classification techniques to help teams classify scoring sequences and key events using game footage. However, this research tends to focus on classifying …

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Predicting Customer Retention Of An App-Based Business Using Supervised Machine Learning, Jeswin Jose Jan 2019

Predicting Customer Retention Of An App-Based Business Using Supervised Machine Learning, Jeswin Jose

Dissertations

Identification of retainable customers is very essential for the functioning and growth of any business. An effective identification of retainable customers can help the business to identify the reasons of retention and plan their marketing strategies accordingly. This research is aimed at developing a machine learning model that can precisely predict the retainable customers from the total customer data of an e-learning business. Building predictive models that can efficiently classify imbalanced data is a major challenge in data mining and machine learning. Most of the machine learning algorithms deliver a suboptimal performance when introduced to an imbalanced dataset. A variety …

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An Evaluation Of Learning Employing Natural Language Processing And Cognitive Load Assessment, Mrunal Tipari Jan 2019

An Evaluation Of Learning Employing Natural Language Processing And Cognitive Load Assessment, Mrunal Tipari

Dissertations

One of the key goals of Pedagogy is to assess learning. Various paradigms exist and one of this is Cognitivism. It essentially sees a human learner as an information processor and the mind as a black box with limited capacity that should be understood and studied. With respect to this, an approach is to employ the construct of cognitive load to assess a learner's experience and in turn design instructions better aligned to the human mind. However, cognitive load assessment is not an easy activity, especially in a traditional classroom setting. This research proposes a novel method for evaluating learning …

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