Computer Sciences Commons^™

Design And Implementation Of Multi Level Terrain Editing Tool, Xiang Bing, Yang Gang, Xiaohong Dong

Journal of System Simulation

Abstract: 3D terrain is an indispensable scene element in computer games, virtual simulation, geographic information and other applications. Realistic digital terrain plays an important role in enhancing the reality of virtual scene and the immersion of users. Based on the in-depth analysis of terrain features and user modeling requirements, a multi-level terrain editing mode is constructed. In the mode, the terrain editing behavior can be expanded from three levels of point, line and face. Each level has a specific operation target and corresponding editing tools. A multi-level and comprehensive terrain editing tool set composed of point tool, curve tool and …

Simulation And Optimization Of Support Resource Allocation For Multi-Aircraft Large Fleet Re Dispatch, Xu Gang, Zhang Lei, Yonggang Yun, Du Li

Journal of System Simulation

Abstract: In view of the complex combination of support resources of multi-aircraft large fleet re dispatch, based on the new complex factors of different models, different support expectation time and different main resource types, the simulation model of multi-aircraft support process based on queuing network is established and a simulation algorithm for the optimal allocation of support resources is proposed. The algorithm takes the total time of fleet support, the average time of aircraft support, the average intensity of fleet support, the cost of resources, the balance of free and busy support, the balance of resource supply and demand as …

Research On Fingerprint Location Algorithm Based On Dynamic Fingerprint Update, Lizhen Cui, Qiaoli Wang, Qianqian Guo, Yang Yong

Journal of System Simulation

Abstract: According to the characteristics of underground environment, a fingerprint location algorithm based on dynamic fingerprint updating is proposed. FCM(Fuzzy C-Means Clustering) is used to divide the location area according to the signal distribution characteristics, and the training and learning model is established in each sub area. On the basis of FCM algorithm, a HMM(Hidden Markov Model) motion information sequence model based on the location of mobile users is proposed. The dynamic update of fingerprint database is realized by users unconsciously participating in the collection of RSSI(Received Signal Strength Indication) sequence. ANFIS(Adaptive Network-based Fuzzy Inference System) algorithm …

Load System Modeling Of Ultra-Supercritical Coal-Fired Power Unit Based On Improved Particle Swarm Optimization, Yuzhen Sun, Yiwei Tang, Li Shuai

Journal of System Simulation

Abstract: Aiming at the difficulties in modeling due to variables coupling of ultra-supercritical coal-fired power unit and defects in basic particle swarm optimization, an improved particle swarm optimization algorithm for modeling of load system is proposed. The algorithm introduces the idea of adaptive, Cauchy mutation and gradient guidance crossover, which improves the problems of particle swarm optimization algorithm being prone to premature convergence and has the poor local searching ability. By collecting the actual operation data of the power plant, using the adaptive Cauchy mutation and gradient guidance cross particle swarm optimization (GMGPSO) algorithm, the model established and validated …

Solving Engineering Optimization Design Problems Based On Improved Salp Swarm Algorithm, Jingsen Liu, Mengmeng Yuan, Li Yu

Journal of System Simulation

Abstract: In order to better solve the engineering optimization design problem and improve the optimization performance of salp swarm algorithm, an adaptive dynamic role salp swarm algorithm with effective scaling and random crossover strategy is proposed. A pareto distribution and chaotic map are introduced into the leader position updating formula to make global search more efficient. In the selection of global and local search, a leader-follower adaptive adjustment strategy is introduced to improve the convergence accuracy. A random crossover strategy is introduced in local search to increase population diversity. The improved algorithm is applied to engineering optimization problems with different …

Combined Gearbox Transmission Ratio Optimization Research Based On Hybrid Particle Swarm, Runhong Wang, Hongjun Wang, Xiangjun Zou, Zeqin Zeng, Li Hui, Zhaofeng Huang, Weiliang Liu

Journal of System Simulation

Abstract: Aiming at the difficulty to obtain the optimal solution for the transmission ratio distribution of combined transmission, an optimization method for the transmission ratio of the combined multi-speed transmission based on the hybrid particle swarm optimization algorithm is proposed. Based on the multi-objective particle swarm algorithm, a leader population with a self-renewal mechanism is introduced to form a hybrid particle swarm algorithm. A multi-objective optimization model is established by taking the transmission ratio of each stage of single-speed transmission as a variable, combining the transmission chain layout, taking the driving power loss rate, specific fuel consumption loss …

Research On Fjsp Of Improved Particle Swarm Optimization Algorithm Considering Transportation Time, Chen Kui, Bi Li

Journal of System Simulation

Abstract: In the actual FJSP(Flexible Job-shop Scheduling Problem) production environment, there is not only the processing time of the workpiece, but also the transport time of the workpiece between the machines, so the flexible job shop scheduling considering the transport time is more practically significant. A hybrid discrete particle swarm optimization algorithm is proposed to solve the flexible job-shop scheduling problem considering transport time. Aiming at the instability and precocity of particle swarm optimization algorithm, the neighborhood search algorithm is applied to improve its stability, and the combination of competitive learning mechanism and random restart algorithm are introduced to avoid …

Simulation Of Anti-Ship Missile Automatic Control Section Trajectory Based On Pso-Lssvm, Shao Cheng, Hongyuan Sun, Zhang Lin

Journal of System Simulation

Abstract: The anti-ship missile trajectory simulation model cannot meet requirements of the “red and blue” confrontation simulation deduction. Trajectory modeling of anti-ship missiles based on field data will be a new method. Taking a typical anti-ship missile as an example, a trajectory modeling and simulation method of the missile self-control section based on field data is proposed. The field data is analyzed and the least square polynomial method is used to fit the missile velocity-time curve. Particle Swarm Optimization Least Square Support Vector Machine (PSO-LSSVM) is used to model. The verified and validated show the model has high credibility and …

Modeling And Simulation Of Urination Assist System Based On Working Medium Saturated Vapor Pressure, Li Xiao, Li Shu, Weihong Peng, Ting Guan

Journal of System Simulation

Abstract: To design and analyze the urination assist system driven by ultrasonic-vaporized steam, a simulation model of the driving capsule and three mathematical models of working medium saturated vapor pressure, bladder pressure and urine flow are established. The simulation experiment system is built to verify the model. The effects of radiation time and sound intensity on the working medium temperature and driving pressure are simulated and analyzed. The results show that the working medium temperature and driving pressure are related to the radiation time and sound intensity. Prolonging radiation time and increasing sound intensity can increase the working medium …

Design And Electromagnetic Simulation Of Split Switched Reluctance Dual-Rotor Motor, Deng Tao, Deng Song

Journal of System Simulation

Abstract: There are some problems such as bad heat dissipation and electromagnetic coupling for the traditional dual-rotor motor of hybrid electric vehicles. Two SRMs of same size are mechanically connected through a coupling to form a dual-rotor motor with two rotors and one stator. A split switched reluctance dual-rotor motor (SSR-DRM) is innovatively designed. The working principle and multi-operating mode of SSR-DRM are analyzed, and the parameters design, modeling and electromagnetic simulation are implemented. The parameters of design and simulation are compared and analyzed from the aspects of magnetic line distribution, magnetic density, transient torque and no-load back …

Subway System Resilience Evaluation In Based On Anp-Extension Cloud Model, Qingjun Guo, Qianwen Hao, Yijie Wang, Wang Jing

Journal of System Simulation

Abstract: In order to improve the safety defense ability and risk resistance level of the subway construction site, it is necessary to improve the risk resistance and accident recovery ability of the safety system. The resilience theory is applied in the safety management of subway construction engineering by defining whether the resilience connotation is applicable to the safety system. According to the bibliometric method and Delphi method, the resilience evaluation index is selected and the system resilience is evaluated by constructing comprehensive evaluation model of ANP-extension cloud. The Xi'an 14th Metro Line is taken as an applilation example. The evaluation …

Modeling And Verification Of Scene Of C3+Ato System Based On Timed Automata, Zhenhai Zhang, Yao Jie

Journal of System Simulation

Abstract: The C3+ATO system is in the experimental stage in our country and has the characteristics of high automation degree and high safety requirement at present. In order to confirm whether the specific function of the high-speed railway C3+ATO system meets the corresponding technical specification under the specific scene, a formal modeling and verification method based on the timed automata is proposed. The station automatic departure scene is selected as the modeling object. The functional requirements of C3+ATO system specification are extracted and the timed automata model of the scene is established. The message sequence chart of the corresponding process …

Study On Virtual And Real Entity Configuration Of Army Units Lvc Tactical Training, Gao Ang, Zhiming Dong, Qisheng Guo, Guohui Zhang

Journal of System Simulation

Abstract: Aiming at the problem that “real soldiers” in the LVC system cannot observe “virtual soldiers” and cannot completely meet the army's tactical training needs, the research on the configuration under the condition of limited interaction between virtual and real entities is carried out. Taking equipment is as the node, taking the interaction between the equipment that conforms to the objective facts of combat as the edge. An undirected graph description example of a virtual-real node interaction is build. All the complete subgraphs in the undirected graph are all the configuration modes of virtual and real entities, under which any …

Implications Of The Quantum Dna Model For Information Sciences, F. Matthew Mihelic

Faculty Publications

The DNA molecule can be modeled as a quantum logic processor, and this model has been supported by pilot research that experimentally demonstrated non-local communication between cells in separated cell cultures. This modeling and pilot research have important implications for information sciences, providing a potential architecture for quantum computing that operates at room temperature and is scalable to millions of qubits, and including the potential for an entanglement communication system based upon the quantum DNA architecture. Such a system could be used to provide non-local quantum key distribution that could not be blocked by any shielding or water depth, would …

The Whole Is Greater Than Its Parts: Ensembling Improves Protein Contact Prediction, Wendy M. Billings, Connor J. Morris, Dennis Della Corte

Faculty Publications

The prediction of amino acid contacts from protein sequence is an important problem, as protein contacts are a vital step towards the prediction of folded protein structures. We propose that a powerful concept from deep learning, called ensembling, can increase the accuracy of protein contact predictions by combining the outputs of different neural network models. We show that ensembling the predictions made by different groups at the recent Critical Assessment of Protein Structure Prediction (CASP13) outperforms all individual groups. Further, we show that contacts derived from the distance predictions of three additional deep neural networks—AlphaFold, trRosetta, and ProSPr—can be substantially …

Implementing A Registry Federation For Materials Science Data Discovery, Raymond L. Plante, Chandler A. Becker, Andrea Medina-Smith, Kevin Brady, Alden Dima, Benjamin Long, Laura M. Bartolo, James A. Warren, Robert J. Hanisch

Copyright, Fair Use, Scholarly Communication, etc.

As a result of a number of national initiatives, we are seeing rapid growth in the data important to materials science that are available over the web. Consequently, it is becoming increasingly difficult for researchers to learn what data are available and how to access them. To address this problem, the Research Data Alliance (RDA) Working Group for International Materials Science Registries (IMRR) was established to bring together materials science and information technology experts to develop an international federation of registries that can be used for global discovery of data resources for materials science. A resource registry collects high-level metadata …

Prediction Of Days-On-Market For Single-Family Homes In The Housing Market Of Savannah, Keagan Galbraith

Honors College Theses

The number of days that a home stays on the housing market (Days-On-Market—DOM) provides crucial information about the real estate market’s behavior that affects the buyer’s/seller’s decision (at the micro-level) and indicates the level of risk associated with real estate investments and identifies the housing bubbles (at the macro level). Housing data has a mixture of simple and complex attributes. A complex attribute in contrast with a simple attribute, has an array of values for a real estate property, which creates a major challenge in prediction of DOM. DOM is a binary attribute with values of “short” (£ six months) …

Research-Practice Partnership Strategies To Conduct And Use Research To Inform Practice, Erin Henrick, Steven Mcgee, Lucia Dettori, Troy Williams, Andrew M. Rasmussen, Don Yanek, Ronald I. Greenberg, Dale Reed

Computer Science: Faculty Publications and Other Works

Given the complex challenges inherent in improving the quality of education, research-practice partnerships (RPPs) aim to bring together research and practice educators to conduct and use research to improve outcomes for students. This collaborative approach is challenging, and often requires members to adopt new ways of working (Coburn, Penuel, & Geil, 2013). RPPs have the potential to provide an infrastructure and mechanisms to integrate and unify research, policy, and practice, in contrast to traditional research processes in which research, policy, and practice can be in tension (Desimone, Wolford, Hill, 2016). The RPP literature is still young, and rich descriptions related …

Learning Sampling Policy For Faster Derivative Free Optimization, Zhou Zhai, Bin Gu, Heng Huang

Machine Learning Faculty Publications

Zeroth-order (ZO, also known as derivative-free) methods, which estimate the gradient only by two function evaluations, have attracted much attention recently because of its broad applications in machine learning community. The two function evaluations are normally generated with random perturbations from standard Gaussian distribution. To speed up ZO methods, many methods, such as variance reduced stochastic ZO gradients and learning an adaptive Gaussian distribution, have recently been proposed to reduce the variances of ZO gradients. However, it is still an open problem whether there is a space to further improve the convergence of ZO methods. To explore this problem, in …

Ethics Of Ai In Education: Towards A Community-Wide Framework, Wayne Holmes, Kaska Poraysa-Pomsta, Ken Holstein, Emma Sutherland, Toby Baker, Simon Buckingham Shum, Olga C. Santos, Ma. Mercedes T. Rodrigo, Mutlu Cukurova, Ig Ibert Bittencourt, Kenneth R. Koedinger

Department of Information Systems & Computer Science Faculty Publications

While Artificial Intelligence in Education (AIED) research has at its core the desire to support student learning, experience from other AI domains suggest that such ethical intentions are not by themselves sufficient. There is also the need to consider explicitly issues such as fairness, accountability, transparency, bias, autonomy, agency, and inclusion. At a more general level, there is also a need to differentiate between doing ethical things and doing things ethically, to understand and to make pedagogical choices that are ethical, and to account for the ever-present possibility of unintended consequences. However, addressing these and related questions is far …

Handwriting Transformers, Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Mubarak A. Shah

Computer Vision Faculty Publications

We propose a novel transformer-based styled handwritten text image generation approach, HWT, that strives to learn both style-content entanglement as well as global and local writing style patterns. The proposed HWT captures the long and short range relationships within the style examples through a self-attention mechanism, thereby encoding both global and local style patterns. Further, the proposed transformer-based HWT comprises an encoder-decoder attention that enables style-content entanglement by gathering the style representation of each query character. To the best of our knowledge, we are the first to introduce a transformer-based generative network for styled handwritten text generation. Our proposed HWT …

Lecture 08: Partial Eigen Decomposition Of Large Symmetric Matrices Via Thick-Restart Lanczos With Explicit External Deflation And Its Communication-Avoiding Variant, Zhaojun Bai

Mathematical Sciences Spring Lecture Series

There are continual and compelling needs for computing many eigenpairs of very large Hermitian matrix in physical simulations and data analysis. Though the Lanczos method is effective for computing a few eigenvalues, it can be expensive for computing a large number of eigenvalues. To improve the performance of the Lanczos method, in this talk, we will present a combination of explicit external deflation (EED) with an s-step variant of thick-restart Lanczos (s-step TRLan). The s-step Lanczos method can achieve an order of s reduction in data movement while the EED enables to compute eigenpairs in batches along with a number …

Teaching Social-Emotional Skills Through Storytelling: Development Of A Mobile App For Children, Sally Devitry

Student Research Symposium

Children today are born into a world where technology is deeply integrated into daily life. A study completed in 2016 found that 85% of children ages 5-10 participate in some form of screen time (e.g., television, tablet, or smart phone) daily. More than 75% of these children do so for more than two hours a day on average. The increasing use of technology, specifically tablet and smartphone use, will fundamentally redefine childhood experiences. In a child’s formative years, learning social-emotional skills such as empathy, communication, resilience, etc. is vital. Obviously, human interaction cannot be replaced in teaching these social-emotional skills, …

Solving Classical Computing Problems Via Quantum Computing, David Wisnosky

Showcase of Osprey Advancements in Research and Scholarship (SOARS)

Honorable Mention Winner

The field of computing has in recent years begun to hit a wall in what is computationally feasible. In the past problems that were complex from a time standpoint waited for hardware to advance. Currently, Moore’s Law, the observation that the number of transistors on a chip doubles about every two years, has come to an end. This is due to the size of a transistor becoming so small that it begins to experience quantum effects and the laws of physics upon which a computer is built break down. A new paradigm of computing has emerged to …

Oer Immersive Mulitmedia Materials Project: Vr As An Agent Of Change, Alexander Isin, Jade Basilius, Johana Barrero, Angeles Fernandez-Cifuentes

Showcase of Osprey Advancements in Research and Scholarship (SOARS)

OER-Immersive Multimedia Materials Project: VR as an Agent of Change Alexander Isin, Computer Science/ Spanish Major (Main researcher) Jade Basilius, Communication/ Spanish Major (Main researcher) Mentors: Johana Barrero, Ph. D., Ångeles Fernández Cifuentes, Ph. D. This project aims at the design and development of immersive instructional materials (with a focus on virtual reality) for the Spanish language, literature, and culture classroom. It specifically involves the design of an interactive 360-degree experience in Spanish about the Florida Keys Coral Reefs and their environmental, socioeconomic, and cultural impact on the community. My involvement in the project focused on the research of different …

Garduino: Using Image Processing To Measure Health In Plants, Maria Pugliese, Matthew Tapia, Adam Flowers, Patrick Kreidl

Showcase of Osprey Advancements in Research and Scholarship (SOARS)

Honorable Mention Winner

As the world population increases, so do the demands for more efficient (less energy-consuming) methods of food cultivation. The vision of “precision agriculture” strives for greater farmland efficiency through advances in technology (sensors, robots), promising capabilities beyond what is possible from only manual labor. The University of North Florida’s “Garduino” project, providing a “hands-on” garden bed within which customized automated solutions can be piloted, aims to prepare engineering and computing undergraduates for this precision agriculture vision. A particularly valuable data source in this vision is near-field crop imagery, as may be acquired via self-navigating ground robots with …

Shor’S Algorithm: How Quantum Computing Affects Cybersecurity, Caroline Fedele, Asai Asaithambi

Showcase of Osprey Advancements in Research and Scholarship (SOARS)

Honorable Mention Winner

Almost all of today’s computer security relies on something known as the RSA cryptosystem. This system relies on a mathematical, specifically number theory, problem known as prime factorization, where a composite number is broken down into its two prime number factors. This in an ideal method for encryption because it is easy to multiply two numbers, encoding the data, but it much harder to determine which numbers were originally multiplied together, thus hard to decode the data. If this composite number is sufficiently large, there is no known algorithm for efficiently breaking it down – at least …

Distfold: Distance-Guided Protein Folding, Matthew Bernardini

Theses

Protein structure prediction and its associated key sub-problems such as distance map prediction are of significance importance in biology and bioinformatics. The inter-residue distance prediction problem, or distance prediction in short, is to predict the physical distance between amino acids in a three-dimensional (3D) space, given a protein's one-dimensional sequence information. While there exist many methods to predict distance maps, there are currently no methods that can take those predicted distance maps and build 3D models from them in an ab initio way, i.e., without using any other information. This works aims to fill this gap by: a) developing a …

Cyberbullying: Its Social And Psychological Harms Among Schoolers, Hyeyoung Lim, Hannarae Lee

International Journal of Cybersecurity Intelligence & Cybercrime

Criminal justice around the world has prioritized the prevention and protection of bullying and its victims due to the rapid increases in peer violence. Nevertheless, relatively few studies have examined what treatments or assistance are effective for peer victims to reduce and recover from their social and psychological suffering, especially in cyberbullying cases. Using data derived from the National Crime Victimization Survey-School Crime Supplement data in 2011 and 2013 (N=823), the current study examined the impact of two emotional support groups (i.e., adult and peer groups) on cyberbullying victims' social and psychological harm. The findings indicated that both adult and …

Cyber-Victimization Trends In Trinidad & Tobago: The Results Of An Empirical Research, Troy Smith, Nikolaos Stamatakis

International Journal of Cybersecurity Intelligence & Cybercrime

Cybertechnology has brought benefits to the Caribbean in the form of new regional economic and social growth. In the last years, Caribbean countries have also become attractive targets for cybercrime due to increased economic success and online presence with a low level of cyber resilience. This study examines the online-related activities that affect cybercrime victimization by using the Routine Activity Theory (RAT). The present study seeks to identify activities that contribute to different forms of cybercrime victimization and develop risk models for these crimes, particularly the understudied cyber-dependent crimes of Hacking and Malware. It also aims to explore if there …