Digital Commons Network^™

Path Planning For Mobile Sink Based On Enhanced Ant Colony Optimization Algorithm In Wireless Sensor Networks, Shanshan Ji

Journal of System Simulation

Abstract: To reduce the energy consumption and sink mobile distance of mobile sink wireless sensor networks simultaneously, a path planning algorithm for mobile sink based on enhanced ant colony optimization algorithm in wireless sensor networks is proposed. Genetic operators are introduced to ant colony optimization algorithm in order to prevent ant colony optimization premature. The non-uniform of data distribution is considered as the constraint condition, the network lifetime and sink mobile distance are considered as a multi-objective problem, and the enhanced ant colony optimization is adopted to search the Pareto sub-optimal sets of rendezvous points. The simulation results show that …

Attitude Control Of Hypersonic Vehicle Considering Input Saturation, Xiaocen Liu, Yunjie Wu, Xu Peng

Journal of System Simulation

Abstract: Aiming at the design of attitude control of hypersonic vehicles, the sliding mode disturbance observer is used to compensate the composite disturbance, meanwhile the dynamic surface control method is used to deal with the design of the nonlinear control system. Considering the input saturation problem, the control input is expanded into a new variable to design the controller, which is different from the direct limit of the rudder deviation. The simulation results show that the dynamic surface control method based on sliding mode observer has stronger robustness than the simple dynamic inversion control method, but the control inputs of …

Fault Identification Of High-Speed Train Bogie Based On Siamese Convolutional Neural Network, Yunpu Wu, Weidong Jin, Junxiao Ren

Journal of System Simulation

Abstract: The performance degradation and failure of high-speed train bogie components will threaten the operation security of train. This paper proposes a fault type identification method based on siamese convolutional neural network to address the scarcity of data and the high-dimension of monitoring signals. Deep residual network with one-dimension convolution layers is employed for features extraction and fusion of vibration signals from multiple sensors. The siamese structure is employed to obtain the similarities between samples. Fault types are identified by ranking similarities in the support set. The experimental results show that the proposed method can identify the fault types with …

Size Optimization Method Of 6r Manipulator Based On Global Maneuverability, Xianhua Li, Xuesong Shi, Lü Lei, Leigang Zhang, Song Tao

Journal of System Simulation

Abstract: Aiming at the six-DOF manipulator of service robot, the structure size parameters are optimized and analyzed. The global manipulability index of the manipulator workspace is defined, the coordinate system of the position and attitude is established, and the reachability of the position and attitude is calculated with the inverse solution of the manipulator, and the global manipulability index of the manipulator is proposed. Taking the maximum value of this index as the optimization target, the size parameters of the connecting rod of the manipulator are optimized by genetic algorithm, the size of the optimized connecting rod and the global …

The Grey-Box Based Modeling Approach Research Integrating Fusion Mechanism And Data, Bin Chen, Xiaodong Wang, Rongxiao Wang, Xiaogang Qiu, Zhengqiu Zhu, Ma Liang

Journal of System Simulation

Abstract: With the deep understanding of world, modeling and simulation have been used to solve the problems of complex systems. The simulation models are used to model the engineering systems which follow newton laws. The modeling approach is called white-box modeling, while the black-box modeling is used to model the systems of which the internal structure and characteristics are not clear. The black-box modeling is based on statistics and data modeling. This paper discusses the deficiencies of the white-box and black-box modeling approaches first. The Grey-box based modeling approach integrating both fusion mechanism and data model is proposed. In …

Quality Control Method Based On Quantum Genetic Clustering Algorithm, Wang Jie, Wang Yan

Journal of System Simulation

Abstract: This paper proposes a method of quality control chart recognition based on Quantum Genetic Clustering Algorithm. This method is divided into two parts: quality feature extraction and pattern classification. By combining Quantum Genetic Algorithm(QGA) and K-means algorithm, a quantum genetic clustering algorithm based on a mechanism for determining the rotation direction of a quantum rotary gate is proposed, and its performance is verified by experimental simulation. Based on the clustering analysis of quality data using the quantum genetic algorithm proposed in this paper, a control chart feature description method is proposed. With this feature as input, Support Vector …

Research On Extraction Method Of Time-Frequency Feature Of Fall Detection, Tianrun Wang, Su Zhong, Liu Ning, Li Chao, Guodong Fu

Journal of System Simulation

Abstract: Aiming at the problem of features extract method for fall detection, the method using time-frequency analyze and features extraction by Fractional Fourier Transform (FRFT) has been proposed. The inertial data is measured by 15 IMU wearing on body, the features extracted after FRFT with multiple order are analyzed and compared. The difference of feature distribution of eight fall actions has been compared, and the difference of feature distribution between fall action and 4 normal actions has been compared. The feasibility of using FRFT in fall detection is proved.

Intelligent Collaborative Networking Method For Workshop Emergencies, Kong Tao, Wang Yan

Journal of System Simulation

Abstract: Due to the complex environment of intelligent manufacturing workshop, abnormal emergencies will cause huge security threats and economic losses to the workshop. It is difficult to transmit the abnormal event data continuously, quickly and completely in the workshop production site, and the fluctuation of abnormal event data is great with high requirements on the integrity and real-time of data transmission. In this paper, a multi-agent cooperative networking method for workshop emergencies is proposed. Mobile robots are introduced as intermediary Sink nodes for data transmission between sensor networks and the Internet. In case of emergencies, the intelligent node and cluster …

Modeling Indoor Environment With Kinect, Lianrui Xu, Jinming Zhang

Journal of System Simulation

Abstract: To solve the problems of point cloud noise, depth data mismatching and local details prone to hollowing in the process of Kinect camera reconstruction of indoor three-dimensional environment. By improving the assignment method of depth image pixel and the threshold relationship of time frame matching, this paper denoises the point cloud with optimizing mean filtering and time frame weighting methods. Combined with recent iteration algorithm (Iterative Closest Point, ICP) to complete the adjacent point cloud splicing so that it can achieve completely indoor model to build 3D environment. To test the validity of the algorithm, the experiment of …

On Operational Experiment Systematization, Xiaogang Qiu, Duan Hong, Bin Chen

Journal of System Simulation

Abstract: With the complexity of military simulation object, the way of operational experiment is changing. Based on the discussion of operational experiment requirements, we first present the concepts, objectives, requirements, ideas and related technologies of operational experiment systematization, discuss the requirements, objectives and tasks of the construction of the operational experiment system and point out that simulation engineering in military field is the basis of efficient systematic operational experiment. After that, we describe the concept of domain simulation briefly, and analyze the work needed to be carried out in military simulation engineering from the perspective of sharing the results of …

Evaluation Method Of Node Importance In Equipment Support Network Based On Polymeric Degree, Zhang Qiang, Junhai Cao, Tailiang Song, Yan Xu

Journal of System Simulation

Abstract: Aiming at the problem that the heterogeneity of nodes in equipment support network and the different support relationships leading to the inaccuracy of judging the importance of nodes based on single attributes such as degree value, this paper puts forward the concept of polymeric degree, and mines the importance information of nodes from the aspects of polymeric degree, betweenness centrality, closeness centrality and Eigenvector centrality. Because of the shortcoming that the Euclidean distance can not reflect the vertical distance in the traditional method of Order Preference by Similarity to an Ideal Solution (TOPSIS), the TOPSIS method is improved. The …

Comparative Study On Resistance Modeling Method In Yacht Simulator, Xiaochen Li, Yin Yong

Journal of System Simulation

Abstract: In order to solve the problem that the existing resistance modeling method of yacht has poor universality and the calculation accuracy is not high, approximate resistance modeling methods of high speed craft are analyzed and summarized. The actual yacht model is simplified into a prismatic hull. “ЦАГИ” method and SIT method are reproduced and the simulation results are compared with model test. The application of resistance approximate modeling in the yacht simulator is discussed. The results reveal that the resistance is in good agreement with the experimental value, and the SIT method with simplified hull form is more …

Evaluation Method Of Simulation Results Based On Principal Component Analysis, Rusheng Ju, Zimin Cai, Yang Mei, Wang Song

Journal of System Simulation

Abstract: A large amount of result data are produced by complex system simulation. These data types are diverse and complex. Usually they cannot be used directly. The inner pattern can only be found by effective evaluation. Based on the characteristics of complex combat simulation results, this paper utilizes the Principal Component Analysis method to reduce the dimension of data analysis and explore the relationship between the system input data and output data. The key influence factors of the measure of force effectiveness is found. The application verification is done by typical examples. The selected principle factors are explored in …

Noise Clipping Algorithm Based On Relative Contribution Rate, Shuoyu Liu, Yueming Dai

Journal of System Simulation

Abstract: This paper presents a class noise cutting algorithm (Class noise cutting, CNC) based on relative contribution rate. The algorithm calculates the relative contribution rate of features to the theme. The most valuable feature set is selected by using features distinguish rating. The corresponding candidate categories for each feature are selected, to reduece the candidate category set, improves the classification accuracy, and speed up the response speed of the classifier. Compared with another ECN noise cutting algorithm (Eliminating the class whose), CNC-has higher accuracy and because of its simpler feature dimension dictionary and better candidate category set, the response …

Study On Data-Driven Orca Preference Velocity, Wang Jie, Bin Chen, Yuan Peng, Ma Liang, Xiaogang Qiu

Journal of System Simulation

Abstract: Crowd evacuation is an important aspect of emergency management. Because of economic and safety reasons, emergency evacuation drill cannot be carried out repeatedly, however modeling and simulation has the obvious advantages of low cost, high repeatability, etc. Optimal Reciprocal Collision Avoidance (ORCA) is a velocity-based Collision Avoidance method, which has fine granularity and high computational efficiency, and is widely used in robot collision avoidance and other domains. In this paper, ORCA is introduced into crowd evacuation simulation, and the optimal parameters of ORCA under different kinds of speed strategies are identified by data-driven method. The optimal strategy …

System Dynamics Modeling For Simulation Of Water Supply And Demand Relationship In Beijing, Longxi Luo, Jianping Wu, Chen Yun, Zhe Xu

Journal of System Simulation

Abstract: Beijing is a metropolis and the center of politics and education of China. However, located in the region with a low level of rainfall, Beijing has been struggling with supplying water resources to meet its growing demand. The past and future trend of the water supply and demand balance in Beijing is studied. Historical data is collected and compiled for learning its past behaviors. The system dynamics (SD) modeling can simulate the complicated and integrated relationships in water supply and demand system. An SD model is then constructed based on compiled historical data. The SD model is validated by …

Intelligent Sandbox For Geography Teaching, Xianli Ji, Yulong Ding, Shuanghua Yang

Journal of System Simulation

Abstract: An intelligent sandbox geography teaching demonstration system combining the augmented reality technology and related geographic knowledge is designed and implemented on the Unity3D platform. The system has functions of deep data processing, projection matrix transformation, terrain rendering, fluid simulation, physical characteristics, adding entities along the slope, changes in sunshine angle, gesture interaction, etc., which can render virtual terrain and scene in real time according to the change of the sandbox. Students can interact with the system in projection correction, adding entities, seasonal switching, weather effects, disaster simulation and other scenarios and learn knowledge points such as contour lines, …

Spatiotemporal Mode Analysis Of Urban Dockless Shared Bikes Based On Point Of Interests Clustering, Zhang Fang, Bin Chen, Yanghua Tang, Dong Jian, Chuan Ai, Xiaogang Qiu

Journal of System Simulation

Abstract: The city’s dockless shared bikes have developed rapidly, and its features of convenience, economy and efficiency have been widely welcomed. The digital footprint they generate reveals the movement of people in time and space within the city, which makes it possible to quantify the activities of people in the city using shared bikes. In this paper, based on the collected shared bikes data of Beijing, a clustering method based on the point of interests is proposed to divide the urban space, so as to construct a mobile network of urban shared bikes, and analysis the spatiotemporal mode of bike …

Cooperative Vehicle Positioning Method Based On V2x Enhanced Gps, Jiuling Wang, Shaobo Wu, Yuanli Zhang, Jiahui Qiu, Liu Qi

Journal of System Simulation

Abstract: In order to further improve the vehicle positioning accuracy and adaptability to the environment, V2X (vehicle to everything) communication network is used for auxiliary positioning to enhance the GPS/DR integrated positioning. Firstly, the three subsystems of GPS, DR and V2X auxiliary positioning independently perform filtering estimation, and then a better estimation from the GPS and V2X auxiliary positioning is selected to conduct global optimal fusion with DR, and finally the three sub-filters are reset with the feedback of the optimal result. Simulation results show that when the GPS signal is seriously affected by multipath interference, the positioning performance of …

The Rockaway Project - Townes, Diara Jepris D. Townes

Capstones

The Rockaway Project is a story-driven website that provides information on the government response to Superstorm Sandy recovery on the Rockaway peninsula in Queens, New York. Dozens of climate resiliency projects have been delayed or remain unfinished, despite millions of dollars in funding and six years of promises. The website hosts audio, visual and digital content, gathered through interviews and data collection.

Link to capstone project: https://www.youtube.com/watch?v=fAq2BeR4bS0&t=1s

The Mta Tried To Improve Outer Borough Bus Service, But They've Only Made It Worse, Adwait Patil

Capstones

The MTA Bus Company introduced articualted, or twin-carraige, buses on three high-volume routes that connect the outer-boroughs to key locations in order to save money and improve service. Since then, commuters say service has only gotten worse and they think agency just doesn't care.

(https://adwaitadwait.github.io/project/)

The Workability Of Dominican University Of California (Duoc) Transitioning To A Community Choice Aggregation (Cca) Program Energy Supply, Alexandra Fuentes

Master's Theses

For almost 10 years Community Choice Aggregation (CCA), or community based energy programs, have been developing and or providing clean energy resources to both commercial and residential customers in various regions around the United States. Although there are several programs in communities in the surrounding regions of California, this study focuses on a specific California program known as MCE. This research examines the feasibility of Dominican University of California (DUoC) transitioning from Pacific Gas and Electric (PG&E) to becoming a client of MCE in the future. Out of the 19 community energy programs currently available in the state, MCE is …

The Impact Of A Freshman Orientation Program On Academic Achievement For Students Enrolled In A Community College, James Gray

Theses and Dissertations

The purpose of this quantitative study was to explore the effectiveness of a freshman orientation program on second-semester retention, second-year retention, and cumulative GPA for students enrolled in a community college in the Deep South. The problem addressed in this study is a lack of sufficient academic and social support for college students, limiting their ability to remain in school and with high levels of academic performance (Nora & Crisp, 2007). For this study, the following research questions were analyzed: (1) Are there differences in 1st to 2nd semester retention for program completers with a 17-18 ACT as compared to …

The Impact Of Utilizing Peer Mentoring Interactions, New Laboratory Experiments, And Writing-To-Learn Practices In Undergraduate Chemistry Education, Dulani Samarasekara

Theses and Dissertations

High attrition rates in Science, Technology, Engineering, and Mathematics (STEM) fields are major challenges in undergraduate education. Many students enrolled in STEM fields end up switching their majors to non-STEM fields or leave college without earning any academic qualification. Due to these reasons, the United States is facing a critical shortage of future talented STEM personnel in the domestic workforce. Therefore, graduating a sufficient number of talented students in STEM fields has come to national attention. It is important to examine strategies for improving STEM-major retention and undergraduate education in STEM disciplines. The main purpose of this study was to …

The Morphology, Pigmentation, And Development Of Structural Coloration In Vanessa Cardui (Lepidoptera: Nymphalidae), Emily A. Shelby

Theses and Dissertations

Butterfly wing color patterns are produced by the placement of monochromatic scales that have specific colors due to pigmentation, nanostructures, or a combination of both. Structural coloration results from the interference of light from the architecture of the nanostructures. Structural coloration in butterfly scales has been studied optically, but little is known about the mechanisms used to create these scales compared to scales without structural coloration. Light, scanning, and transmission electron microscopy were used to determine underlying morphological, pigmentation, and developmental differences between blue (i.e., structural) and black (i.e., nonstructural) wing scales of Vanessa cardui. Differences in scale size, pigmentation, …

Reduced Herbicide Antagonism Through Novel Spray Application Techniques, Luke H. Merritt

Theses and Dissertations

Field studies were conducted to test three application methods for applying antagonistic herbicide combinations: 1) tank mix (TMX), 2) mix-in-line (MIL), and 3) separate boom (SPB). Sethoxydim applied with bentazon, glyphosate applied with dicamba or 2,4-D, and clethodim applied with dicamba or 2,4-D had higher efficacy when applied using the SPB method. Antagonism of all the herbicide combinations above was observed when applied using the TMX and MIL methods. In some cases, antagonism was avoided when using the SPB method. Three application methods tested in greenhouse studies were 1) TMX, 2) synthetic auxin applied first (AAF), and 3) synthetic auxin …

Multi-Platform Comparison Of Canopy Reflectance On Corn Whole Plant And Leaf Tissue Nitrogen Status, Zachary Thomas Sumner

Theses and Dissertations

Single-rate blanket application of fertilizer nitrogen (N) can result in an over or under application. Variable rate (VR) applications tailored to actual crop demands can improve N use efficiency in spatially variable soils. The objective of this study was to compare and improve relationships derived between corn canopy reflectance and corn N status acquired with two sensing platforms. Four fertilizer N rates were used, from deficient to excess, to create varying corn N status. Sensing and biophysical sampling was taken throughout the season for analysis and comparison to calculated vegetation indices (VIs). Results show strong relationships between VIs and corn …

Evaluating The Applicability Of Deep Learning Techniques In Agricultural Systems Modeling, Babak Saravi

Theses and Dissertations

A rapidly expanding world population and extreme climate change have made food production a crucial challenge in the twentyirst century. Therefore, improving crop production through agricultural management could be an effective solution for this challenge. However, due to the associated cost and time to perform field works, researchers widely rely on agricultural system modeling to examine the impacts of different crop management scenarios. However, due to the complexity of agricultural system modeling, their applications in producing practical knowledge for producers are limited. Concurrently, deep learning techniques have been recognized as a preferred method when dealing with large datasets. This study …

Analysis Of Open Test Section Flow In A Closed Return Wind Tunnel, Salma Mfaddel

Theses and Dissertations

Mississippi State University has a subsonic closed return wind tunnel facility with an open test section configuration. This research analyzes the test section flow quality using a numerical approach and explain how the diffuser's collector suppresses unsteadiness. Previous experiment assessed the flow quality at the wind tunnel without the collector, and velocity was measured using a pitot-static probe and hot wire. The results show a numerical comparison between the two configurations, with and without the collector, understand the effect of the diffuser 's collector on steadiness and uniformity. This paper will describe the wind tunnel facility and give further details …

Supporting Student Success In Chemistry Using Peer Mentoring, Laboratory Experiments, And Eye-Tracking Analysis, Viveka Lakruwani Perera

Theses and Dissertations

Active participation in the learning process enhance students’ critical thinking and problem-solving skills. We implemented peerocused, active learning, recitation sessions with the large-enrollment sections for General Chemistry I courses at Mississippi State University (MSState) over a period of four semesters beginning in Spring 2016. The peerocused recitation program was a success improving student final (standardized ACS) exam scores, pass/fail rates for the course, and continuation on to General Chemistry II (CH 1223) courses. Peerocused collaborative learning and students possessing ownership over their learning significantly enhanced academic outcomes of our program. Worked-example effect is the best known and apparently the most …