Computer Sciences Commons^™

Application Of Weighted Dynamic Svdd In Nonlinear Process Monitoring, Yanhong Xie, Chengao Sun, Li Yuan

Journal of System Simulation

Abstract: Due to the complexity of the chemical process, the data are often characterized by dynamics and correlation between sequences. Traditional support vector data description (SVDD) methods are difficult to guarantee real-time monitoring online. A Weighted-Dynamic-SVDD (WDSVDD) method was proposed to monitor fault in real time online. The dynamic method was introduced, and the correlation between the data was considered. The weighted information was used to highlight the useful information. The model was established by using SVDD method, and the online real-time fault monitoring was realized. The method not only overcomes the adverse effect of non-Gaussian and nonlinearity, but …

Research On One-Cycle Controlled Bi-Directional Dc-Dc Converter Based On Switch Capacitor Network, Chen Lei, Tinglong Pan, Yanxia Shen, Dinghui Wu, Zhicheng Ji

Journal of System Simulation

Abstract: According to the switch capacitor network working characteristics of discharging in series, charging in parallel, a high ratio bidirectional DC-DC converter based on switch capacitor network was proposed. In order to improve the converter's ability of resist input voltage disturbance and dynamic response speed, an improved method was focused on which combined the advantage of one-cycle control and the output voltage feedback compensation control, which could realize inhibition the input voltage perturbation in one cycle and improve the converter's resistance ability of load disturbance. The operating principle and control characteristics of the new converter were analyzed. The improved one-cycle …

Simulation On Waste Heat And Water Recovery System Of Flue Gas In Plant Boiler, Jinping Wang, Deng Yu, Bin Li, Zhu Rui

Journal of System Simulation

Abstract: To further improve economy of power plant, the waste heat and water recovery system was put forward. The mathematical model of the gas cooler was established, and the simulation model of this system was built. This simulation model was integrated into the simulation system of a 350mw heating unit, and the simulation experiment was carried out. The influences caused by the introduction of the flue gas waste heat and water recovery system to thermal power unit were analyzed. The dynamic characteristics of the flue gas waste heat and water recovery system based on the valve perturbation experiments were …

Modeling And Simulation For Inter-Harmonics Of Double Pwm Ac Speed Control System For Port Bridge Crane, Wenhuan Yang, Dirui Yang, Ronggao Li

Journal of System Simulation

Abstract: When the total capacity of double PWM reversible speed control system in distribution network accounts for a larger proportion of power grid capacity, the power quality pollution, or even voltage flicker is generated by interharmonics of double PWM system. Therefore the stable operation of the power grid is affected. Based on the studies on bridge crane system in Shanghai Deep water Port area, a mathematical model of multi-quadrant double PWM reversible speed control system was established. In accordance with the operating characteristics of motor, the inter-harmonic currents, injected into grid were simulated at different speeds respectively in the power …

Modeling And Simulation Of Power Communication Networking Based On Quality Of Service, Xueyi Zhang, Juhui Gu, Meiqin Zhou

Journal of System Simulation

Abstract: For the complex network topology and channel time-varying characteristics of power line carrier communication in low voltage distribution grid, there is a phenomenon of slow convergence and stagnation when solving the routing problem with traditional ant colony algorithm. The algorithm used is easy to fall into premature and local optimization. An automatic networking algorithm based on transmission delay and the load factor of the evaluation factors was proposed and a genetic algorithm was joined at a later stage. The optimal solution was obtained by using the improved crossover operators, and the convergence of optimal algorithm solution was accelerated by …

A Unified Decentralized Trust Framework For Detection Of Iot Device Attacks In Smart Homes, Hussein Salim Qasim Alsheakh

Dissertations

Trust in Smart Home technology security is a primary concern for consumers, which can prevent them from adopting smart home services. Such concerns are due to following reasons; (i) nature of IoT devices– which due to their limited computational and resource capabilities, cannot support traditional on-device security controls (ii) any breach to cyber-attacks have an immediate impact on the smart homeowner, compared to traditional cyber-attacks (iii) a large variety of different applications and services under the umbrella of make an overarching security framework for smart homes fundamentally challenging for both providers to offer and owners to manage.

This dissertation offers …

Modulation Of Medical Condition Likelihood By Patient History Similarity, Jonathan Turner, Dympna O'Sullivan, Jon Bird

Articles

Introduction: We describe an analysis that modulates the simple population prevalence derived likelihood of a particular condition occurring in an individual by matching the individual with other individuals with similar clinical histories and determining the prevalence of the condition within the matched group.

Methods: We have taken clinical event codes and dates from anonymised longitudinal primary care records for 25,979 patients with 749,053 recorded clinical events. Using a nearest neighbour approach, for each patient, the likelihood of a condition occurring was adjusted from the population prevalence to the prevalence of the condition within those patients with the closest matching clinical …

Closing The Data-Decisions Loop: Deploying Artificial Intelligence For Dynamic Resource Management, Pradeep Varakantham

Asian Management Insights

Improving predictions and allocations to determine the optimal matching of demand and supply in a dynamic, uncertain future.

Neural Network Models For Nuclear Treaty Monitoring: Enhancing The Seismic Signal Pipeline With Deep Temporal Convolution, Joshua T. Dickey

Theses and Dissertations

Seismic signal processing at the IDC is critical to global security, facilitating the detection and identification of covert nuclear tests in near-real time. This dissertation details three research studies providing substantial enhancements to this pipeline. Study 1 focuses on signal detection, employing a TCN architecture directly against raw real-time data streams and effecting a 4 dB increase in detector sensitivity over the latest operational methods. Study 2 focuses on both event association and source discrimination, utilizing a TCN-based triplet network to extract source-specific features from three-component seismograms, and providing both a complimentary validation measure for event association and a one-shot …

Design And Test Of An Autonomy Monitoring Service To Detect Divergent Behaviors On Unmanned Aerial Systems, Loay Y. Almannaei

Theses and Dissertations

Operation of Unmanned Aerial Vehicles (UAV) support many critical missions in the United State Air Force (USAF). Monitoring abnormal behavior is one of many responsibilities of the operator during a mission. Some behaviors are hard to be detect by an operator, especially when flying one or more autonomous vehicles; as such, detections require a high level of attention and focus to flight parameters. In this research, a monitoring system and its algorithm are designed and tested for a target fixed-wing UAV. The Autonomy Monitoring Service (AMS) compares the real vehicle or simulated Vehicle with a similar simulated vehicle using Software …

Work-In-Progress: Augmented Reality System For Vehicle Health Diagnostics And Maintenance, Yuzhong Shen, Anthony W. Dean, Rafael Landaeta

Electrical & Computer Engineering Faculty Publications

This paper discusses undergraduate research to develop an augmented reality (AR) system for diagnostics and maintenance of the Joint Light Tactical Vehicle (JLTV) employed by U.S. Army and U.S. Marine Corps. The JLTV’s diagnostic information will be accessed by attaching a Bluetooth adaptor (Ford Reference Vehicle Interface) to JLTV’s On-board diagnostics (OBD) system. The proposed AR system will be developed for mobile devices (Android and iOS tablets and phones) and it communicates with the JLTV’s OBD via Bluetooth. The AR application will contain a simplistic user interface that reads diagnostic data from the JLTV, shows vehicle sensors, and allows users …

Virginia Digital Shipbuilding Program (Vdsp): Building An Agile Modern Workforce To Improve Performance In The Shipbuilding And Ship Repair Industry, Joseph Peter Kosteczko, Katherine Smith, Jessica Johnson, Rafael Diaz

VMASC Publications

Industry 4.0 is the latest stage in the Industrial Revolution and is reflected in the digital transformation and use of emergent technologies including the Internet of Things, Big Data, Robotic automation of processes, 3D printing and additive manufacturing, drones and Artificial Intelligence (AI) in the manufacturing industry. The implementation of these technologies in the Shipbuilding and Ship Repair Industry is currently in a nascent stage. Considering this, there is huge potential to increase cost savings, decrease production timelines, and drive down inefficiencies in Lifecyle management of ships. However, the implementation of these Industry 4.0 technologies is hindered by a noticeable …

New Approaches To Frequent And Incremental Frequent Pattern Mining, Mehmet Bicer

Dissertations, Theses, and Capstone Projects

Data Mining (DM) is a process for extracting interesting patterns from large volumes of data. It is one of the crucial steps in Knowledge Discovery in Databases (KDD). It involves various data mining methods that mainly fall into predictive and descriptive models. Descriptive models look for patterns, rules, relationships and associations within data. One of the descriptive methods is association rule analysis, which represents co-occurrence of items or events. Association rules are commonly used in market basket analysis. An association rule is in the form of X → Y and it shows that X and Y co-occur with a given …

Novel Fast Algorithms For Low Rank Matrix Approximation, John T. Svadlenka

Dissertations, Theses, and Capstone Projects

Recent advances in matrix approximation have seen an emphasis on randomization techniques in which the goal was to create a sketch of an input matrix. This sketch, a random submatrix of an input matrix, having much fewer rows or columns, still preserves its relevant features. In one of such techniques random projections approximate the range of an input matrix. Dimension reduction transforms are obtained by means of multiplication of an input matrix by one or more matrices which can be orthogonal, random, and allowing fast multiplication by a vector. The Subsampled Randomized Hadamard Transform (SRHT) is the most popular among …

Free Space Detection And Trajectory Planning For Autonomous Robot, Zachary Ross Winger

Computer Science and Software Engineering

Autonomous robots need to know what is around them and where it is safe for them to move to. Because having this ability is so important, Dr. Seng and myself have created a model to predict the free space in front of his autonomous robot, Herbie. We then use this prediction to enforce a driving policy to ensure Herbie drives around safely.

Design And Implementation Of Spatial Augmented Reality In Large Scene, Shuiying Ge, Shuman Liu, Shibiao Xu, Xiaopeng Zhang

Journal of System Simulation

Abstract: To get long distance marker recognition in Augmented Reality, three software development toolkits were used to construct the long distance marker-less registration technology based on depth sensor, and develop a new augmented reality system based on PC platform. The tracking system was constructed by Kinect and camera. Defects in the single camera tracking system for long distance tracking were improved, and human-computer interaction in Augmented Reality was realized. By the detailed description of the main function modules, such as position calibration module, maker-less virtual-real registration module, and natural interaction module, the system design concept was introduced. Experiment results show …

Solving Flexible Job-Shop Scheduling Problem By Improved Chicken Swarm Optimization Algorithm, Shipeng Xu, Dinghui Wu, Kong Fei, Zhicheng Ji

Journal of System Simulation

Abstract: To solve the flexible job-shop scheduling problem (FJSP) more effectively, an improved chicken swarm optimization (ICSO) algorithm was proposed. A flexible job-shop scheduling model was established for the purpose of minimizing the machine makespan. The improved chicken swarm optimization algorithm was presented. Algorithm improved the update formula of chicks and combined the advantages of simulated annealing algorithm and dynamic inertia cosine weight strategy, which achieved an effective balance of global search and local exploration. According to simulating and testing four standard functions and a flexible job shop scheduling model and compared with particle swarm optimization (PSO) and chicken swarm …

Short-Term Prediction Of Wind Speed For Wind Farm Based On Ide-Lssvm Model, Zhang Yan, Dongfeng Wang, Han Pu

Journal of System Simulation

Abstract: To improve the prediction accuracy of short-term wind speed for wind farm, an improved differential evolution algorithm was applied to optimize the parameters of least squares support vector machine. Two mutation operators were integrated, and the scale factor and crossover probability factor were changed gradually to adapt to the evolutionary generations. The good global search ability and population diversity in early stage of evolution were ensured, therefore the local search accuracy and the convergence speed in the late stage were enhanced. The forecasting performance of the least squares support vector machine optimized by IDE was improved. Simulation experiments on …

Study On Balanced Energy-Consumption Routing Protocol Of Airfield Single-Lamp Monitoring System, Gao Mei, Bingyuan Wang, Dandan Zhang, Zhaorong Sun

Journal of System Simulation

Abstract: To extend the sensor node lifetime and balance the energy consumption of the wireless sensor network, on the basis of the protocols AL-CAME (Airfield lighting-clustering algorithm based on max energy) and ECOMP (Efficient cluster-based communication protocol), a clustered hierarchy protocol of balanced energy-consumption was proposed for the airfield single-lamp monitoring system. According to the protocol, every two sensor nodes formed a cluster, and the node with the highest remaining energy was elected to be cluster head which was responsible for data aggregation within the cluster. The balanced routing algorithm was adopted in data-transmission from cluster head to …

Study For Solar Seasonal Storage System In Transition Season, Liu Long

Journal of System Simulation

Abstract: The COP (Coefficient of Performance) of the GSHP system has decreased gradually year after year caused by imbalance energy loads especially in heating-dominated climate zones. The solar thermal energy storage system in transition season can solve the problems effectively. The practice of solar seasonal storage was carried out and supplied by a practical project. TRNSYS 16 was used to simulate the solar energy storage experiment process. The correctness of the model was verified by the experimental data and the simulation results were corrected. Results shows that the simulated results and the measured data were well matched with …

Robotic Manipulator's Visual Servo Control Based On Echo State Networks, Guoyou Li, Xiafei Su, Xiaolei Qin, Xiangxue Shi

Journal of System Simulation

Abstract: The inaccuracy in robotic manipulator modeling, which due to the nonlinear and strong coupling of robotic manipulator itself, cannot be ignored on the study of the robotic manipulator control problem. Aiming at the inaccuracy in robotic manipulator modeling, this study led echo state network in the visual servo control system of robotic manipulator. In order to achieve the robotic manipulator positioning control, this study used the echo state network to identify inaccurate item and compensates the uncertainties of the model in the control law. The simulation model of the simulated system was built with MATLAB simulation software. The …

Performance Analysis Of An M/M/1 Queue With N-Policy Interrupted Closedown Preventive Maintenance Balking And Feedback, A. Azhagappan, T. Deepa

Applications and Applied Mathematics: An International Journal (AAM)

This paper investigates the transient and stationary behavior of a M/M/1 queueing model with N-policy, interrupted closedown, balking, feedback and preventive maintenance. The server stays dormant (off state) until N customers accumulate in the queue and then starts an exhaustive service (on state). After the service, each customer may either leave the system or get immediate feedback. When the system becomes empty, the server resumes closedown. If any arrival occurs before the completion of closedown time, the closedown work of the server is interrupted and starts the busy period in an exhaustive manner. If no arrival occurs during the …

C# Application To Deal With Neutrosophic G(Alpha)-Closed Sets In Neutrosophic Topology, S. Saranya, M. Vigneshwaran, S. Jafari

Applications and Applied Mathematics: An International Journal (AAM)

In this paper, we have developed a C# Application for finding the values of the complement, union, intersection and the inclusion of any two neutrosophic sets in the neutrosophic field by using .NET Framework, Microsoft Visual Studio and C# Programming Language. In addition to this, the system can find neutrosophic topology, neutrosophic alpha-closed sets and neutrosophic g(alpha)-closed sets in each resultant screens. Also, this computer-based application produces the complement values of each neutrosophic closed sets.

From Degree To Chief Information Security Officer (Ciso): A Framework For Consideration, Wendi M. Kappers, Martha Nanette Harrell,

Publications

Educational entities are establishing program degree content designed to ensure cybersecurity and information security assurance skills are adequate and efficient for preparing students to be successful in this very important field. Many Master’s level programs include courses that address these skills in an attempt to provide a well-rounded program of study. However, undergraduates who are in the practitioner’s world have other alternatives to gain these skills. These individuals can gain various certifications, such as the Certified Information Systems Security Professional (CISSP) or the Certified Information Security Manager (CISM). Due to a perceived gap between academics and field knowledge, it appears …

Survey On Individual Differences In Visualization, Zhengliang Liu, R. Jordan Crouser, Alvitta Ottley

Computer Science: Faculty Publications

Developments in data visualization research have enabled visualization systems to achieve great general usability and application across a variety of domains. These advancements have improved not only people's understanding of data, but also the general understanding of people themselves, and how they interact with visualization systems. In particular, researchers have gradually come to recognize the deficiency of having one-size-fits-all visualization interfaces, as well as the significance of individual differences in the use of data visualization systems. Unfortunately, the absence of comprehensive surveys of the existing literature impedes the development of this research. In this paper, we review the research perspectives, …

Crowdsourcing Classroom Observations To Identify Misconceptions In Data Science, Ruth E. H. Wertz, Karl Rb Schmitt, Linda Clark, Bjorn Sandstede, Katherine M. Kinnaird

Computer Science: Faculty Publications

Web-browsing histories, online newspapers, streaming music, and stock prices all show that we live in an age of data. Extracting meaning from data is necessary in many fields to comprehend the information flow. This need has fueled rapid growth in data science education aiming to serve the next generation of policy makers, data science researchers, and global citizens. Initially, teaching practices have been drawn from data science's parent disciplines (e.g., computer science and mathematics). This project addresses the early stages of developing a concept inventory of student difficulty within the newly emerging field of data science. In particular this project …

Scalable Multi-Agent Reinforcement Learning For Aggregation Systems, Tanvi Verma

Dissertations and Theses Collection (Open Access)

Efficient sequential matching of supply and demand is a problem of interest in many online to offline services. For instance, Uber, Lyft, Grab for matching taxis to customers; Ubereats, Deliveroo, FoodPanda etc. for matching restaurants to customers. In these systems, a centralized entity (e.g., Uber) aggregates supply and assigns them to demand so as to optimize a central metric such as profit, number of requests, delay etc. However, individuals (e.g., drivers, delivery boys) in the system are self interested and they try to maximize their own long term profit. The central entity has the full view of the system and …

Online Spatio - Temporal Demand Supply Matching, Meghna Lowalekar

Dissertations and Theses Collection (Open Access)

The rapid growth of cities in developing world coupled with the increase in rural to urban migration have led to cities being identified as the key actor for any nation's economy. Shared mobility has become an integral part of life of people in cities as it improves efficiency and enhances transportation accessibility. As a result, the mismatch between the demand and supply of shared mobility resources has a direct impact on people's life. Thus, the goal of my dissertation is to develop solution strategies for these real-time (online) spatio-temporal demand supply matching problems for shared mobility resources which can enhance …

Design Of Personalised M-Learning Curriculum Implementation Model For Diploma In Hospitality Management, Ramalingam R Moganadass

Student Works (2020-2029)

Personalised m-learning allows learner to create learning experience around his mobile devices by tailoring learning materials according to his demand. This could be possible by incorporating personalised m-learning into formal education to assist students to fulfil their learning needs and learning outcomes. Therefore, this study was conducted to develop a personalised m-learning curriculum implementation model for students enrolled in Food and Beverage Service course in their diploma in hospitality programme. This study employed the Design and Development Research (DDR) approach. The Needs Analysis phases is the first phase which aimed to investigate problems and justifications for developing the personalised m-learning …

Visual Attention Consistency Under Image Transforms For Multi-Label Image Classification, Hao Guo, Kang Zheng, Xiaochuan Fan, Hongkai Yu, Song Wang

Computer Science Faculty Publications

Human visual perception shows good consistency for many multi-label image classification tasks under certain spatial transforms, such as scaling, rotation, flipping and translation. This has motivated the data augmentation strategy widely used in CNN classifier training -- transformed images are included for training by assuming the same class labels as their original images. In this paper, we further propose the assumption of perceptual consistency of visual attention regions for classification under such transforms, i.e., the attention region for a classification follows the same transform if the input image is spatially transformed. While the attention regions of CNN classifiers can be …