Numerical Analysis and Scientific Computing Commons^™

Rehabilitation Training System Based On Brain Computer Interface, Banghua Yang, Li Bo

Journal of System Simulation

Abstract: Brain-computer interface (BCI) is a new communication and control method. The BCI rehabilitation training system was developed for rehabilitation training of post-stroke patients by using MATLAB and VC++ hybrid programming method. By decoding the EEG signal, the patient's movement intention can be recognized accurately in real time, then the work of the rehabilitation peripheral is triggered to give feedback from the visual, auditory, and tactile. The patient's active rehabilitation is achieved through the system. The system has the characteristics of user-friendly interface, modular algorithm, high online recognition rate; and it can be used as a reference for BCI-based …

Modeling And Simulation Of Inter-City Passenger Travel Service Flow Based On Petri Net, Qipeng Sun, Guo Xin, Ma Fei

Journal of System Simulation

Abstract: On the basis of inter-city passenger travel chain, the inter-city passenger transport service process is studied; the Petri net language is used for establishing and simulating the model of inter-city passenger transport service process based on the Visual Object Net++; and the simulation results are used for verifying the reliability of the established model with the theory of petri net, while the model is transformed into a homogeneous Markov chain with the process. The detailed analysis on the city subway of the inter-city passenger transport service process was carried out. By modeling and simulating, the derived value of …

High-Pass Difference Features Based Image Quality Assessment, Wang Rui, Li Ping, Bin Sheng, Congbin Qiao, Lizhuang Ma, Enhua Wu

Journal of System Simulation

Abstract: Current methods of image quality assessment only can assess the quality of images under the same type of image distortion. In order to fix such weaknesses, this paper is designed based on the image features of natural scene statistics and proposes a new metric method using high-pass filter for detecting features. The approach computes locally the normalized luminance; selects features such as the difference of RGB channels via high-pass filter, image gradient, sharpness, contrast, etc.; and analyzes and gathers features in the metric method trained by logistic regression. Experimental results show that the proposed method can work efficiently under …

Design And Research On Simulation Model Of Limestone-Wet Flue Gas Desulfurization Absorption Tower, Zhang Yue, Han Pu, Zhang Xiang

Journal of System Simulation

Abstract: The mass transfer and chemical reaction processes of wet flue gas desulfurization (FGD) are very complex. It is helpful to improve the operation level of desulfurization site by studying the internal mechanism and establishing a high precision mechanism model. The absorption tower is divided into some regions, and the modeling targets in different regions are determined. The sulfur dioxide absorption region is divided into different heights of the "cell" by the slurry droplet falling distance and exposure time. According to the motion characteristics and mass transfer process, the desulfurization efficiency and pressure drop are calculated, and the absorption efficiency …

Indoor Scene Generation Based On Case-Based Reasoning And Collaborative Filtering, Peihua Song, Jinyuan Jia

Journal of System Simulation

Abstract: To solve the problem of time-consuming and single scene generation in indoor scene generation, we propose an indoor scene generation algorithm based on case-based reasoning and collaborative filtering techniques. The algorithm of functional area division is performed on the two-dimensional room floor plan. Thecase-based reasoning is used to generate 3D scenes; and the collaborative filtering is used to generate diverse indoor scenes. A scene evaluation method based on user feedback information is proposed. Experiments were carried out on the living room and bedroom to generate scenes. The experimental results show that the proposed algorithm is effective. The running time …

Simulation Algorithm Of Streak Tube Multi-Spectral Laser 3d Imaging System, Jingya Cao, Shaokun Han, Wenze Xia, Wang Liang

Journal of System Simulation

Abstract: The streak tube laser three-dimensional imaging system is one of the most promising practical laser imaging systems, because of its high precision, large field of view and high frame frequency. A multispectral imaging simulation algorithm for multi-slit streak tube is proposed based on the research of the multi-spectral imaging. The derivation of the main structural parameters is given. The influence of the number of different detectors on the time resolution and spatial resolution of the system is analyzed. In the model of the simulation system, the laser echo signals of multiple wavelength bands are fed into the photocathode of …

Visualization Platform Of Lightweight Toxic Gases Dispersion, Jinyuan Jia, Xinzhi Zhao, Panjing Li

Journal of System Simulation

Abstract: The sudden accidents usually emit large quantities of toxic gases and harmful pollutants in a short time. It is very necessary and meaningful to predict and visualize the dispersing trend of those toxic gases over Internet as accurate and fast as possible for people to evacuate safely and immediately. We propose a lightweight simulation for air pollution dispersion based on the Gaussian puff model. With this method, we can visualize the procedure of toxic gas dispersing on a webpage in real-time. we can also estimate the pollution of toxic gas dispersion trend and analyze their further pollution effects on …

Hardware-In-The-Loop Simulation Method For Laser Active Imaging Guidance, Zhang Qing, Yijie Li

Journal of System Simulation

Abstract: The system of laser active imaging guidance hardware-in-the-loop simulation is a significant system for testing and validating the capability of laser active imaging guidance and control, it also means a lot in practical applications. The composition of guidance and control system for the laser active imaging aerocraft is analyzed, and the purpose and test flow for the hardware-in-the-loop simulation system are introduced. The integrated project for laser active imaging guidance hardware-in-the-loop simulation system is designed. The functions and elements for the crucial simulation equipment of laser active imaging echo simulator are analyzed; the elements of model composition and …

Improved Dv-Hop Localization Scheme Based On The Best Path Matching Strategy, Qinqin Shi, Xu Qiang, Jianping Zhang

Journal of System Simulation

Abstract: Improvement strategies are provided in view of the fact that the original DV-Hop (Distance, Vector-Hop) method has great error in distance estimation due to the network anisotropy in practical applications and the sensitivity of its location derivation algorithm to the range error. In the distance estimation step, a strategy of computing path similarity parameter is proposed to find out the most similar beacon-beacon path to beacon-node path; in the position calculation step, a modified PSO (Particle Swarm Optimization) algorithm is added after the initial position of an unknown node being derived using Lateration algorithm. Simulation shows that compared with …

Traffic Dynamic Regulation And Control Technology In The Central Area Of Nanning City, Yiman Du, Hongfan Su, Jianping Wu, Chen Yu, Huang Lin, Longfei Liu

Journal of System Simulation

Abstract: As the transportation develops rapidly, the traffic burden increases in downtown areas, especially in the areas of convention center, government building, and business & financial center, which exacerbates traffic congestion nearby. Conventional traffic control measures taken include stagger shifts, congestion charging, and tail number limit. Interests of multi aspects are involved in these measures, which has broad effect. The traffic managers now begin to ameliorate traffic burden by technical methods. A feedback-gate control based regional traffic volume control method was proposed and a microscopic simulation was adopted. This reasearch aims to ameliorate traffic pressure and balance traffic flow through …

Gesture Recognition Method Based On Multi-Feature Fusion, Yuanming Wang, Zhang Jun, Yuanhui Qin, Xiujuan Chai

Journal of System Simulation

Abstract: Aiming at the specific application requirements of command gesture for flight deck, a gesture recognition method based on multi-feature fusion is proposed. The 3D trajectory feature vector and hand sparse representation are established from two aspects of the trajectory and posture based on the visual information collected by depth camera. On the one hand, the gesture is recognized through normalization resampling and alignment based on the trajectory feature. On the other hand, the gesture is recognized through sparse representation alignment based on the HOG feature. The recognition results are fused effectively. The experimental results indicate that our …

Cs04all: Machine Learning Module, Hunter R. Johnson

Open Educational Resources

These are materials that may be used in a CS0 course as a light introduction to machine learning.

The materials are mostly Jupyter notebooks which contain a combination of labwork and lecture notes. There are notebooks on Classification, An Introduction to Numpy, and An Introduction to Pandas.

There are also two assessments that could be assigned to students. One is an essay assignment in which students are asked to read and respond to an article on machine bias. The other is a lab-like exercise in which students use pandas and numpy to extract useful information about subway ridership in NYC. …

Vistanet: Visual Aspect Attention Network For Multimodal Sentiment Analysis, Quoc Tuan Truong, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Detecting the sentiment expressed by a document is a key task for many applications, e.g., modeling user preferences, monitoring consumer behaviors, assessing product quality. Traditionally, the sentiment analysis task primarily relies on textual content. Fueled by the rise of mobile phones that are often the only cameras on hand, documents on the Web (e.g., reviews, blog posts, tweets) are increasingly multimodal in nature, with photos in addition to textual content. A question arises whether the visual component could be useful for sentiment analysis as well. In this work, we propose Visual Aspect Attention Network or VistaNet, leveraging both textual and …

Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach, Chen Zhang, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

This paper explores machine learning to address a problem of Partially Observable Multi-sensor Sequential Change Detection (POMSCD), where only a subset of sensors can be observed to monitor a target system for change-point detection at each online learning round. In contrast to traditional Multisensor Sequential Change Detection tasks where all the sensors are observable, POMSCD is much more challenging because the learner not only needs to detect on-the-fly whether a change occurs based on partially observed multi-sensor data streams, but also needs to cleverly choose a subset of informative sensors to be observed in the next learning round, in order …

Robust Estimation Of Similarity Transformation For Visual Object Tracking, Yang Li, Jianke Zhu, Steven C. H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu

Research Collection School Of Computing and Information Systems

Most of existing correlation filter-based tracking approaches only estimate simple axis-aligned bounding boxes, and very few of them is capable of recovering the underlying similarity transformation. To tackle this challenging problem, in this paper, we propose a new correlation filter-based tracker with a novel robust estimation of similarity transformation on the large displacements. In order to efficiently search in such a large 4-DoF space in real-time, we formulate the problem into two 2-DoF sub-problems and apply an efficient Block Coordinates Descent solver to optimize the estimation result. Specifically, we employ an efficient phase correlation scheme to deal with both scale …

Adaptive Cost-Sensitive Online Classification, Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang

Research Collection School Of Computing and Information Systems

Cost-Sensitive Online Classification has drawn extensive attention in recent years, where the main approach is to directly online optimize two well-known cost-sensitive metrics: (i) weighted sum of sensitivity and specificity; (ii) weighted misclassification cost. However, previous existing methods only considered first-order information of data stream. It is insufficient in practice, since many recent studies have proved that incorporating second-order information enhances the prediction performance of classification models. Thus, we propose a family of cost-sensitive online classification algorithms with adaptive regularization in this paper. We theoretically analyze the proposed algorithms and empirically validate their effectiveness and properties in extensive experiments. Then, …

Cryptocurrency Mining On Mobile As An Alternative Monetization Approach, Nguyen Phan Sinh Huynh, Kenny Choo, Rajesh Krishna Balan, Youngki Lee

Research Collection School Of Computing and Information Systems

Can cryptocurrency mining (crypto-mining) be a practical ad-free monetization approach for mobile app developers? We conducted a lab experiment and a user study with 228 real Android users to investigate different aspects of mobile crypto-mining. In particular, we show that mobile devices have computational resources to spare and that these can be utilized for crypto-mining with minimal impact on the mobile user experience. We also examined the profitability of mobile crypto-mining and its stability as compared to mobile advertising. In many cases, the profit of mining can exceed mobile advertising's. Most importantly, our study shows that the majority (72%) of …

Discrete Social Recommendation, Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

Social recommendation, which aims at improving the performance of traditional recommender systems by considering social information, has attracted broad range of interests. As one of the most widely used methods, matrix factorization typically uses continuous vectors to represent user/item latent features. However, the large volume of user/item latent features results in expensive storage and computation cost, particularly on terminal user devices where the computation resource to operate model is very limited. Thus when taking extra social information into account, precisely extracting K most relevant items for a given user from massive candidates tends to consume even more time and memory, …

Stock Market Prediction Analysis By Incorporating Social And News Opinion And Sentiment, Zhaoxia Wang, Seng-Beng Ho, Zhiping Lin

Research Collection School Of Computing and Information Systems

The price of the stocks is an important indicator for a company and many factors can affect their values. Different events may affect public sentiments and emotions differently, which may have an effect on the trend of stock market prices. Because of dependency on various factors, the stock prices are not static, but are instead dynamic, highly noisy and nonlinear time series data. Due to its great learning capability for solving the nonlinear time series prediction problems, machine learning has been applied to this research area. Learning-based methods for stock price prediction are very popular and a lot of enhanced …

Evolutionary Trends In The Collaborative Review Process Of A Large Software System, Subhajit Datta, Poulami Sarkar

Research Collection School Of Computing and Information Systems

In this paper, we study the evolutionary trends in the collaborative review process of a large open source software system. As expected, the number of reviews, the number of reviews commented on, as well as the number of reviewers, and the interactions between them show increasing trends over time. But unexpectedly, levels of clustering between developers in their interaction networks show a decreasing trend, even as connections between them increase. In the context of our study, clustering is an indicator of developer collaboration, whereas connection points to how intensely developers work together. Thus the trends we observe can inform how …