Comparative Study Of Sentiment Analysis With Product Reviews Using Machine Learning And Lexicon-Based Approaches,
2019
Southern Methodist University
Comparative Study Of Sentiment Analysis With Product Reviews Using Machine Learning And Lexicon-Based Approaches, Heidi Nguyen, Aravind Veluchamy, Mamadou Diop, Rashed Iqbal
SMU Data Science Review
In this paper, we present a comparative study of text sentiment classification models using term frequency inverse document frequency vectorization in both supervised machine learning and lexicon-based techniques. There have been multiple promising machine learning and lexicon-based techniques, but the relative goodness of each approach on specific types of problems is not well understood. In order to offer researchers comprehensive insights, we compare a total of six algorithms to each other. The three machine learning algorithms are: Logistic Regression (LR), Support Vector Machine (SVM), and Gradient Boosting. The three lexicon-based algorithms are: Valence Aware Dictionary and Sentiment Reasoner (VADER), Pattern, …
Improving Vix Futures Forecasts Using Machine Learning Methods,
2019
Southern Methodist University
Improving Vix Futures Forecasts Using Machine Learning Methods, James Hosker, Slobodan Djurdjevic, Hieu Nguyen, Robert Slater
SMU Data Science Review
The problem of forecasting market volatility is a difficult task for most fund managers. Volatility forecasts are used for risk management, alpha (risk) trading, and the reduction of trading friction. Improving the forecasts of future market volatility assists fund managers in adding or reducing risk in their portfolios as well as in increasing hedges to protect their portfolios in anticipation of a market sell-off event. Our analysis compares three existing financial models that forecast future market volatility using the Chicago Board Options Exchange Volatility Index (VIX) to six machine/deep learning supervised regression methods. This analysis determines which models provide best …
Project Insight: A Granular Approach To Enterprise Cybersecurity,
2019
Southern Methodist University
Project Insight: A Granular Approach To Enterprise Cybersecurity, Sunna Quazi, Adam Baca, Sam Darsche
SMU Data Science Review
In this paper, we disambiguate risky activity corporate users are propagating with their software in real time by creating an enterprise security visualization solution for system administrators. The current problem in this domain is the lag in cyber intelligence that inhibits preventative security measure execution. This is partially due to the overemphasis of network activity, which is a nonfinite dataset and is difficult to comprehensively ingest with analytics. We address these concerns by elaborating on the beta of a software called "Insight" created by Felix Security. The overall solution leverages endpoint data along with preexisting whitelist/blacklist designations to unambiguously communicate …
Direct-To-Patient Survey For Diagnosis Of Benign Paroxysmal Positional Vertigo,
2019
Marquette University
Direct-To-Patient Survey For Diagnosis Of Benign Paroxysmal Positional Vertigo, Heidi Richburg, Richard J. Povinelli, David Friedland
Electrical and Computer Engineering Faculty Research and Publications
Given the high incidence of dizziness and its frequent misdiagnosis, we aim to create a clinical support system to classify the presence or absence of benign paroxysmal positional vertigo with high accuracy and specificity. This paper describes a three-phase study currently underway for classification of benign paroxysmal positional vertigo, which includes diagnosis by a specialist in a clinical setting. Patient background information is collected by a survey on an Android tablet and machine learning techniques are applied for classification. Decision trees and wrappers are employed for their ability to provide information about the question set. One goal of the study …
A Deep Recurrent Q Network Towards Self-Adapting Distributed Microservices Architecture (In Press),
2019
Technological University Dublin
A Deep Recurrent Q Network Towards Self-Adapting Distributed Microservices Architecture (In Press), Basel Magableh
Articles
One desired aspect of microservices architecture is the ability to self-adapt its own architecture and behaviour in response to changes in the operational environment. To achieve the desired high levels of self-adaptability, this research implements the distributed microservices architectures model, as informed by the MAPE-K model. The proposed architecture employs a multi adaptation agents supported by a centralised controller, that can observe the environment and execute a suitable adaptation action. The adaptation planning is managed by a deep recurrent Q-network (DRQN). It is argued that such integration between DRQN and MDP agents in a MAPE-K model offers distributed microservice architecture …
Multivariate Information Fusion With Fast Kernel Learning To Kernel Ridge Regression In Predicting Lncrna-Protein Interactions,
2019
University of South Carolina
Multivariate Information Fusion With Fast Kernel Learning To Kernel Ridge Regression In Predicting Lncrna-Protein Interactions, Cong Shen, Yijie Ding, Jijun Tang, Fei Guo
Faculty Publications
Long non-coding RNAs (lncRNAs) constitute a large class of transcribed RNA molecules. They have a characteristic length of more than 200 nucleotides which do not encode proteins. They play an important role in regulating gene expression by interacting with the homologous RNA-binding proteins. Due to the laborious and time-consuming nature of wet experimental methods, more researchers should pay great attention to computational approaches for the prediction of lncRNA-protein interaction (LPI). An in-depth literature review in the state-of-the-art in silico investigations, leads to the conclusion that there is still room for improving the accuracy and velocity. This paper propose a novel …
Design And Evaluation Of Iot-Enabled Instrumentation For A Soil-Bentonite Slurry Trench Cutoff Wall,
2019
Bucknell University
Design And Evaluation Of Iot-Enabled Instrumentation For A Soil-Bentonite Slurry Trench Cutoff Wall, Jeffrey C. Evans, Alan Marchiori, Yadong Li
Faculty Journal Articles
In this work, we describe our approach and experiences bringing an instrumented soil-bentonite slurry trench cutoff wall into a modern IoT data collection and visualization pipeline. Soil-bentonite slurry trench cutoff walls have long been used to control ground water flow and contaminant transport. A Raspberry Pi computer on site periodically downloads the sensor data over a serial interface from an industrial datalogger and transmits the data wirelessly to a gateway computer located 1.3 km away using a reliable transmission protocol. The resulting time-series data is stored in a MongoDB database and data is visualized in real-time by a custom web …
Application Of Virtual Reality In Rehabilitation Of Special Populations,
2019
1. College of Science and Technology, Ningbo University, Ningbo 315212, China;;
Application Of Virtual Reality In Rehabilitation Of Special Populations, Tingting Liu, Liu Zhen, Ping'an Qian, Rongrong Xuan, Wang Jin, Yanjie Chai
Journal of System Simulation
Abstract: With the continuous development of urbanization and the trend of population aging, the number of people who need physical and mental rehabilitation continues to increase. Using information technology to assist the rehabilitation process has the important practical significance. The existing studies about the application of virtual reality (VR) technology in the rehabilitation, psychological problems and children with autism for stroke are reviewed. A framework for the intelligent rehabilitation system is proposed. Virtual agent, the technology of somatosensory and voice recognition are advised to be used. Based on the proposed framework, a prototype rehabilitation game for autism and an upper …
A Review Of Rare Event Simulation,
2019
Department of Automation, Tsinghua University, Beijing 100084, China;
A Review Of Rare Event Simulation, Liping Wang, Wenhui Fan
Journal of System Simulation
Abstract: Rare-event has a great significance for its lower probability of occurrence and greater harmfulness, the traditional Monte Carlo method is difficult to analyze it effectively. Rare-event simulation technique which is developed quickly and applied in many areas can sample the rare-event effectively with variance reduction methods and can estimate the occurrence probability of rare-event. The research status of rare-event simulation technique is summarized firstly; the principles, problems and progress of the main methods are analyzed and concluded secondly; after that the application fields of the technique are elaborated and summarized; the future development tendency of rare event simulation technique …
Integrated Modeling For Time Delay Stability Analysis In Gcps,
2019
1. School of Information, Yunnan University, Kunming 650091, China;;
Integrated Modeling For Time Delay Stability Analysis In Gcps, Jianbo Jiang, Li Peng, Aimin Miao, Cao Min, Songhai Zhang, Tan Lei, Kerun Li
Journal of System Simulation
Abstract: According to the separation problems of physical and cyber modeling in time delay stability analysis for grid cyber-physical system (GCPS), an integrated modeling method is presented and proved by single machine infinite bus system (SMIBS). The time delay and stability of GCPS are analyzed and discussed, and the physical and cyber models of SMIBS are established respectively. The dynamic linking library by EA and VS based on information model (CIM) are generated, and the united simulation platform is achieved by MATLAB. The results of the simulation show that the unified structure of information flow …
Parameter Estimation Of Lfmcw Signals Based On Improved Sm Method,
2019
School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China;
Parameter Estimation Of Lfmcw Signals Based On Improved Sm Method, Jiang Li, Junni Zhou, Runling Yang, Liu Li
Journal of System Simulation
Abstract: The parameter estimation of linear frequency modulation continuous wave (LFMCW) signal is a research hotspot in electronic reconnaissance systems. In this paper, the time frequency distribution feature of LFMCW signals is studied first. Based on the improved S-method (SM), an algorithm for parameter estimation of LFMCW signals is proposed. It uses short-time Fourier transform (STFT) to calculate the SM with adaptive window width, which can suppress the crossterm interferences and improve the time-frequency resolution. Theoretical analysis and simulation experiment results demonstrate the validity of the proposed algorithm under low SNR.
Research On Method Of Battlefield Situation Representation Based On Multiplex Information Cell,
2019
Department of Equipment Support and Remanufacture, Academy of Armored Force Engineering, Beijing 100072, China;
Research On Method Of Battlefield Situation Representation Based On Multiplex Information Cell, Xiying Huang, Dinghai Zhao, Shao Wei
Journal of System Simulation
Abstract: We adopt the grid-space method to represent the battlefield as discrete cell model. And we construct the multiplex information cell (MIC) using the situation-meta’s information such as position, states collection, indexed by position. The positions of MICs correspond to the battlefield’s positions. Both of them can be represented as stack or data array. This method gives a way to build the whole mapping relationship between data structure which the computer can understand and the battle factors such as position and state of situation-meta. When the position or state of the situation-meta changes, the computer can redraw the view according …
Towards The Automatic Evolution Of Workload Models In Large-Scale Astronomical Data Management,
2019
1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China;;2. University of Chinese Academy of Sciences, Beijing 100049, China;;
Towards The Automatic Evolution Of Workload Models In Large-Scale Astronomical Data Management, Huajin Wang, Wan Meng, Han Rui, Ren Wei, Haiming Zhang, Jianhui Li
Journal of System Simulation
Abstract: The benchmark's guiding role in system selection/optimization requires its workload model has the ability to: Run on various systems of the target application scenario (be portable); Reflect the typical tasks' characteristics and data access patterns (be representative). The emerging systems and tasks in large-scale astronomical data management field have led workload models constructed by existing methods to be prone to lose portability and representativeness. An automatic evolutionary workload modeling method has been proposed: Abstract operations are used to keep the workload model’s portability; Automatic workload log analytics are used to keep the workload model’s representativeness. The feasibility of this …
Analysis Of Lane Changing Conflict Based On Tta In Expressway Weaving Area,
2019
1.School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;;
Analysis Of Lane Changing Conflict Based On Tta In Expressway Weaving Area, Wang Bao, Linjie Gao, Zhicai Juan
Journal of System Simulation
Abstract: The study of lane changing behavior in expressway weaving area is of great significance to the analysis of the traffic flow conflict and driving behavior characteristics. In this paper, a lane changing conflict model was established and trajectory extraction software was used to extract and calculate TTA (time to avoidance) and TTC (time to collision). We got 336 TTAs and 233 TTCs and 4 grades of the lane changing conflict level were built by using statistical method. We came up with the proposed lane changing speed and some traffic management strategies. The study will help to …
Direct Parameter Identification Method For Steam Turbine And Its Governing System,
2019
1. Electric Power Research Institute of Guizhou Power Grid Co., Ltd. Guiyang 550002, China;;
Direct Parameter Identification Method For Steam Turbine And Its Governing System, Jingliang Zhong, Xiaolong Gou, Tongtian Deng
Journal of System Simulation
Abstract: Since most of the traditional parameter identification methods used in the steam turbine and its governing system have the shortages of poor fitness, complicated identification process and long period, a novel identification method based on least square theory, called direct identification method, is proposed in this paper. Parameter to be identified can be obtained quickly and accurately through direct identification method if the identification process is transferred to solve nonlinear equation which represents the minimal error between simulated data and measured data. The identification results show that during identification process the proposed method has high identification efficiency, accurate identification …
Research On Conceptual Model For Trainer Embedded Training System,
2019
1. Naval Aviation University, Yantai 264001, China;;
Research On Conceptual Model For Trainer Embedded Training System, Jierong Tian, Zhang Li, Han Liang, Cunhu Shi
Journal of System Simulation
Abstract: Embedded training is an effective way to solve the problem of pilot tactical training, and represents a new technique trend in military training. Aiming at the requirements of trainer embedded training, the visual conceptual model that includes case model, static model and dynamic model for trainer embedded training system is constructed by unified modeling language (UML). Based on the conceptual model and the trainer characteristics, with the consideration of the reality and the future development, the structure model of embedded training system is designed referring to foreign architecture of embedded training system. The bus communication of embedded training …
Damage Simulation Of A Certain Type Of Armored Equipment Based On Finite Element Analysis,
2019
Army Armored Military Academy, Training Center, Beijing 100072, China;
Damage Simulation Of A Certain Type Of Armored Equipment Based On Finite Element Analysis, Junqing Huang, Tuan Wang, Guanghui Li, Fan Rui
Journal of System Simulation
Abstract: Based on the finite element numerical simulation method, the damage simulation of a certain type of armored equipment was studied. The numerical simulation model of ammo power was established. Based on 3D modeling technology, the vulnerability model of the armored equipment in the component level with high-resolution was established. The spatial relation model of projectile and target was established based on the interaction analysis of projectile and target. According to the characteristic of ammo damage element, combined with the damage criterion of armored equipment component, the damage condition of the component and the damage grade of the armored equipment …
Analysis And Optimization For Combat Capability Based On Sequential Simulation Experiment,
2019
1.The 28th Research Institute of China Electronic Group Corporation, Nanjing 210007, China;;2. Science and Technology on Information Systems Engineering Laboratory, Nanjing 210007, China;
Analysis And Optimization For Combat Capability Based On Sequential Simulation Experiment, Chenyan Kong, Zhu Jing, Jiao Song, Shaojie Mao
Journal of System Simulation
Abstract: To deal with the optimization of combat capability, the sequential simulation experiment method was proposed. The simulation evaluation method with precision constraint was used to control the simulation running times. The sensitivity analysis experiment was carried out to identify the important factors affecting the combat capability. The relation model between the important factors and combat capability was constructed via regression analysis experiment. To get the combat capability improvement as large as possible with the price as small as possible, the optimization was used. In the application example, the air-defense combat capability was improved by the method.
Modeling And Simulation For Automobile Connecting Rod Production Line Based On System Dynamics,
2019
1. Department of Automation, Tsinghua University, Beijing 100084, China;;
Modeling And Simulation For Automobile Connecting Rod Production Line Based On System Dynamics, Li Han, Wenhui Fan, Feng Yuan, Mengni Zhu, Shengxiao Zhang
Journal of System Simulation
Abstract: In the production line system, it is of much significance to assign operation to workstations in order to balance the manufacturing workload and increase productivity under the given constraint conditions. Based on System Dynamics theory, this paper builds a simulation model of a connecting rod production line in an automobile component company. With this model, the paper analyses the balancing rate and influential factors. Then some preliminary optimization is made to improve the production line performance.
Modeling And Simulation Of Connecting Rod Production Line,
2019
Department of automation, Tsinghua University, Beijing 100084, China;
Modeling And Simulation Of Connecting Rod Production Line, Yuanyuan Yan, Wenhui Fan, Feng Yuan
Journal of System Simulation
Abstract: Discrete event system simulation method is widely applied to solve various problems, and line balancing problem is also one of them. In this paper, we use discrete event system simulation method to solve line balancing problem. Connecting rod production line is modeled by using DES. A production line model is built and simulated in AnyLogic, the bottleneck process and the problems to be optimized are analyzed. A small program in MATLAB is used to optimize the production line, and find the optimal solution. Simulate again.
