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2018

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Articles 361 - 390 of 1217

Full-Text Articles in Computer Engineering

Cooperative Target Recognition With Multiple Features Judgment, Guopeng Sun, Xiangyang Hao, Zhenjie Zhang, Pengrui Yan Jun 2018

Cooperative Target Recognition With Multiple Features Judgment, Guopeng Sun, Xiangyang Hao, Zhenjie Zhang, Pengrui Yan

Journal of System Simulation

Abstract: For solving cooperative target recognition problem in visual navigation, a fast and accurate algorithm based on progressive judgment of multiple features is proposed. The image is processed and judged by multiple features including image contours, Hu moment invariants and FAST corners. The non-target areas are eliminated and the real targets are obtained. In the process, algorithm is improved and some accelerated strategies are adopted to meet real-time requirements. Experiments show that the proposed algorithm can identify cooperative target robustly and adaptively with different distances, different angles and environment disturbance.

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New Phase-Lock Method For Tracking Low-Voltage Ride-Through On Photovoltaic Inverters, Bobo Li, Shouzhi Li, Yanxiao Zhang Jun 2018

New Phase-Lock Method For Tracking Low-Voltage Ride-Through On Photovoltaic Inverters, Bobo Li, Shouzhi Li, Yanxiao Zhang

Journal of System Simulation

Abstract: The low-voltage ride-through in photovoltaic power generation is a key problem for photovoltaic inverters connected to grid. Aiming at the frequency- and phase-locking of low-voltage ride-through on the photovoltaic inverter during asymmetric fault on the grid and using positive and negative sequence separation, a dual second-order generalized integral frequency- and phase-locking algorithm (DSOGI-FLL-PLL) is proposed, and a simple FLL is used so that positive and negative sequence separation can be performed for various frequencies. The conventional phase-lock- loop (PLL) is also used to capture the grid-side voltage, which greatly reduces response time and error of PLL during asymmetric faults …

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Dynamic Blind Source Separation Method Of Bearing Fault Diagnosis Based On Ga-Aw-Pso, Tianqi Zhang, Baoze Ma, Xingzi Qiang, Shengrong Quan Jun 2018

Dynamic Blind Source Separation Method Of Bearing Fault Diagnosis Based On Ga-Aw-Pso, Tianqi Zhang, Baoze Ma, Xingzi Qiang, Shengrong Quan

Journal of System Simulation

Abstract: The adaptive particle swarm optimization based on genetic mechanism (GA-AW-PSO) is proposed, aiming at blind source separation for dynamic hybrid bearing signals. The negentropy of separated signal is regarded as an objective function. The inertia weight is adjusted adaptively to reduce the invalid iterations according to the fitness difference. The introduction of genetic mechanism can increase diversity and is helpful for dynamic signal processing. The parameterized representation of orthogonal matrices can reduce the complexity of the algorithm. The simulation results show that the proposed method is superior to traditional blind source separation for the dynamic mechanical hybrid analog signal. …

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Simulation Of Hot Event Propagation Based On Game Theory And Sirs, Dezhi Wei, Fuji Chen, Lina Lin Jun 2018

Simulation Of Hot Event Propagation Based On Game Theory And Sirs, Dezhi Wei, Fuji Chen, Lina Lin

Journal of System Simulation

Abstract: The hot events of the internet public opinion spread fast and have great influence. It has become a topic of concern for netizens and governments. The spread of hot spots on the internet is similar to the dynamics of infectious diseases, so a traditional SIRS epidemic model based improved model is proposed, combining the analysis of the game theory. The evolutionary game model of infectious body and immune body is constructed, the equilibrium point of the game is found and the law of the spread of hot spots is obtained. The model is verified by experiment through the …

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Physically-Based Dynamic Algorithms For Time-Varying Of Flowers And Leaves, Jiao Di, Yang Meng, Yang Gang Jun 2018

Physically-Based Dynamic Algorithms For Time-Varying Of Flowers And Leaves, Jiao Di, Yang Meng, Yang Gang

Journal of System Simulation

Abstract: This paper presents physically-based simulations of dynamic algorithms of the blossom and fading of flowers as well as the time-varying leaves following the seasons. The models of the flowers are constructed according to the previously collected primary biological data of organs of flowers. The dynamic simulation is presented by two phases: the process of blooming and the process of fading. To simulate the former, the curved surfaces of petals are controlled by controlling the points on the Bezier surface; for realizing the simulation of the latter, the physical method is used. The dynamic effects of colors of leaves according …

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Vascular Image Enhancement Using Steerable Filters, Yiren Wang, Guoqing Deng, Yingwei Xia, Zhang Long, Liu Yong, Zhang Wen Jun 2018

Vascular Image Enhancement Using Steerable Filters, Yiren Wang, Guoqing Deng, Yingwei Xia, Zhang Long, Liu Yong, Zhang Wen

Journal of System Simulation

Abstract: Based on the weakness of traditional image enhancement algorithms, an enhancement algorithm with steerable filter is put forward, which uses computer vision system as hardware platform. A steerable filter is applied for taking vein information in different directions. The wavelet transform is used to fuse image for high frequency information on vein. The nonlinear unsharp masking enhancement algorithm is used to escalate vein image. Experiment results show that the new algorithm can effectively suppress noise, reduce information loss and achieve better enhancement.

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Key Technology Of Oil Spill Visualization At Sea Surface, Changjun Zou, Yin Yong, Xiuwen Liu, Feifei Wan Jun 2018

Key Technology Of Oil Spill Visualization At Sea Surface, Changjun Zou, Yin Yong, Xiuwen Liu, Feifei Wan

Journal of System Simulation

Abstract: An intensive study is made on the visualization method and oil equipment interaction. To solve the blind area problem and to realize the interactive of oil film, the following methods are proposed: new visualization method based on texture projection; modeling technique of oil boom based on mass-spring model; dynamic interaction method between oil boom and oil film texture based on polygon clipping. Real-time oil spill visualization at sea is implemented on GPU, the test results show the correctness and reliability of the methods.

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Simulation And Optimization On Electrodynamic Repulsion Force Of Contact System In Circuit Breaker With Oil Dashpot, Yanhua Qiao, Xiuping Su, Tianying Dong Jun 2018

Simulation And Optimization On Electrodynamic Repulsion Force Of Contact System In Circuit Breaker With Oil Dashpot, Yanhua Qiao, Xiuping Su, Tianying Dong

Journal of System Simulation

Abstract: A 3D finite element model for contact system of circuit breaker with oil dashpot is established. Two electrodynamic repulsion forces, the Holm force between contacts and the Lorentz force between the conductor arms, are analyzed. The current density distribution, magnetic intensity distribution and the forces of the contact and contact arm are obtained. Compared with the theoretical value, it shows that it is feasible to use this method to solve electrodynamic repulsion force. The main factors that influence the Holm force are analyzed. The simulation results show the changes of Holm force with different surface contact coefficient, contact pressure …

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Parallel Design And Load Balance Of Openmp Based Warfighting Simulation, Wang Xiao, Yaqi Liu, Yuben Tao Jun 2018

Parallel Design And Load Balance Of Openmp Based Warfighting Simulation, Wang Xiao, Yaqi Liu, Yuben Tao

Journal of System Simulation

Abstract: Parallel simulation is a main trend of large scale and high precision war fighting simulation (WS). However, currently there is no unified framework to design a parallel WS and no effective method to load balance of it. Based on the parallel agent theory, an OpenMP based parallel WS design framework (PWSF) is proposed. To solve the problem of the complex simulation load distribution resulted from the diversity of entities' models and the position independence of the interactions, a load balance method based on METIS multilevel graph partition tool is suggested. Based on the improved PHOLD test model, experiments on …

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3d Visual Effects Assessment Based On Comprehensive Weight, Yanyang Zeng, Zhenjing Feng Jun 2018

3d Visual Effects Assessment Based On Comprehensive Weight, Yanyang Zeng, Zhenjing Feng

Journal of System Simulation

Abstract: There are various indicators for assessing the 3D visual effects, while the general weight of each index needs pre-determined coefficients individually, for which either the expert knowledge model or theoretical model used has advantages and disadvantages empowerment. Based on expert knowledge and theoretical models, the comprehensive weight method, optimization model, and direct solution of the index weight vectors have subjective and objective information. Experimental results show that the method of determining the weight vector different sort results of the assessment is also slightly different. Integrated weighting method to determine the weight of each index and the corresponding results of …

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Algorithm For Tracking Position And Orientation Of Drug Delivery Capsules In Gastrointestinal Tract, Xudong Guo, Zhengping Lu, Qinfen Jiang, Shuyi Wang, Haipo Cui Jun 2018

Algorithm For Tracking Position And Orientation Of Drug Delivery Capsules In Gastrointestinal Tract, Xudong Guo, Zhengping Lu, Qinfen Jiang, Shuyi Wang, Haipo Cui

Journal of System Simulation

Abstract: To realize an accurate releasing by a drug-delivery capsule in the gastrointestinal tract, a method of magnetic vector detection with angle sensing has been presented to track the capsule in real time; and a prototype of the tracking system has been developed. Based on the fundamentals of spatial distribution of magnetic vector fields, a nonlinear model of tracking is established. An improved artificial bee colony algorithm is studied to solve the magnetic inverse problem. In the improved algorithm, a chaos operator is used to generate an initial population and a sort selection is used to prevent premature convergence. …

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Train Energy Saving Operation Based On Simulated Annealing Algorithm, Liu Wei, Jiaxuan Xu, Peipei Wang, Ruilong Liu, Jingkun Tang Jun 2018

Train Energy Saving Operation Based On Simulated Annealing Algorithm, Liu Wei, Jiaxuan Xu, Peipei Wang, Ruilong Liu, Jingkun Tang

Journal of System Simulation

Abstract: For the timing and energy saving algorithm of urban railway, the train operation iterative process was analyzed by dividing the operation intervals to meet the requirements of the subway trains timing energy saving operation. The differentiation was adopted to establish the train operation iterative model, and as a result the timing energy saving problem was transformed into the solution of train output using coefficient sequence. An optimization solving method based on simulated annealing algorithm was proposed and the algorithm was implemented using MFC program. Three intervals of Shanghai Metro Line 3 were selected and the solution of the train …

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Event-Triggered Non-Fragile H∞ State Estimation For Fuzzy Time-Delay Neural Networks, Yanqin Wang, Weijian Ren Jun 2018

Event-Triggered Non-Fragile H∞ State Estimation For Fuzzy Time-Delay Neural Networks, Yanqin Wang, Weijian Ren

Journal of System Simulation

Abstract: For a class of fuzzy neural networks with randomly occurring time-varying delays and randomly data packet loss, an event-triggered non-fragile H∞ state estimator is designed. The event-triggered condition is introduced to determine whether the signal is transmitted or not, so as to reduce the occupation rate of network resource. Random variables of Gaussian distribution and the multiplicative gain uncertainties are adopted to construct the non-fragile state estimator with randomly occurring gain variations. By constructing Lyapunov function, and via stochastic computation and linear matrix inequality technique, the sufficient conditions for the existence of non-fragile estimators are obtained, which guarantee …

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Svm Prediction Of Performance Degradation Of Rolling Bearings With Fusion Of Kpca And Information Granulation, Jiya Xu, Wang Yan, Dahu Yan, Zhicheng Ji Jun 2018

Svm Prediction Of Performance Degradation Of Rolling Bearings With Fusion Of Kpca And Information Granulation, Jiya Xu, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: To effectively predict the performance degradation index and its fluctuation ranges of the rolling bearing, a prediction method based on kernel principal component analysis algorithm and fuzzy information granulation using support vector machine is proposed. The kernel principal component analysis is utilized to preprocess the data to acquire the main feature vector, construct T2 and SPE statistics, and to analyze its trend. The statistical information is used as the performance degradation index. Theory of fuzzy information granulation is used to granulate the performance degradation index and extract the useful information. The granulated data are put to the support …

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Detail-Preserving Shape Deformation In Sph Fluid Control, Feng Gang, Shiguang Liu Jun 2018

Detail-Preserving Shape Deformation In Sph Fluid Control, Feng Gang, Shiguang Liu

Journal of System Simulation

Abstract: It remains a challenging problem to drive particles-based fluid simulation to match target shape and deform fluid shape between different models smoothly in fluid control, especially when the natural fluid motion should be preserved. To achieve the desired behavior, the models are divided into source objects and target objects, and the control particles are generated from them. According to a space point correspondence between source control particles and target control particles, the control particles' movements are calculated which drive fluid to match different models. The control energy from source control particles is transferred to target control particles so as …

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Test Data Compression Scheme For Fast Search Best Rational Approximate Fraction, Haifeng Wu, Wenfa Zhan, Yifei Cheng Jun 2018

Test Data Compression Scheme For Fast Search Best Rational Approximate Fraction, Haifeng Wu, Wenfa Zhan, Yifei Cheng

Journal of System Simulation

Abstract: Rapid growth of test data volume becomes a major factor for test time and manufacturing cost increasing. To reduce test data volume, a code-based compression scheme with fast search best rational approximate fraction is presented. The run-length data is converted into floating point numbers; and the equal best rational approximate fractions of floating point numbers is searched quickly; the appearing law of run-length data in the form of integer numerator and integer denominator is stored instead of storing run-length data directly. This scheme is compatible with traditional code-based methods. It also has simple compression and decompression protocol, good compression …

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Performance Analysis And Research Of Shark Fin Structure Based On Simulation, Liu Shuang, Lü Chao, Rao Yong, Shiming Wang Jun 2018

Performance Analysis And Research Of Shark Fin Structure Based On Simulation, Liu Shuang, Lü Chao, Rao Yong, Shiming Wang

Journal of System Simulation

Abstract: The shark fin, the pectoral fin and the dorsal fin were studied based on the numerical simulation method; the pressure field, velocity field and flow field of the specimen structure were analyzed with three different flow velocities; the analysis and comparison of the mechanical properties of caudal fin, dorsal fin and pectoral fin were presented. The results show that the setting width of the tail fin can be set to 0.5 ~ 4.8 meters so as to improve the anti-karman vortex effect; the width of the tail fins should be relatively narrow in order to guarantee the base of …

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Effect Of Interfacial Curvature On Drag Reduction Of Superhydrophobic Microchannels, Chunxi Li, Zhang Shuo, Xuemin Ye Jun 2018

Effect Of Interfacial Curvature On Drag Reduction Of Superhydrophobic Microchannels, Chunxi Li, Zhang Shuo, Xuemin Ye

Journal of System Simulation

Abstract: The two-dimensional fluid flow in superhydrophobic microchannels with transverse grooves was numerically simulated with Fluent to investigate the impact of the liquid-gas interface curvature on the effective slip behavior in the laminar regime. The effects of shear-free fraction, normalized periodic cell length and Reynolds number on the normalized slip length and pressure drop reduction are also examined. The results show that as protrusion angle increases, the normalized slip length and pressure drop reduction exhibit with single-hump variations. When θ=θopt, increments in the normalized slip length and pressure drop reduction tend to be greater as shear-free …

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Imu Single-Axis Rotation Method And Error Analysis Of Modulation Inertial Navigation System, Sun Wei, Ruibao Li, Zhang Yuan, Yang Dan Jun 2018

Imu Single-Axis Rotation Method And Error Analysis Of Modulation Inertial Navigation System, Sun Wei, Ruibao Li, Zhang Yuan, Yang Dan

Journal of System Simulation

Abstract: Aiming at the problem that inertial device bias has an influence on the improvement of system precision, a single axis error modulation scheme whose sensitive axis is misalignment with rotation axis which can continuously rotate in clockwise and counterclockwise is proposed. Based on the same level precision of inertial components in IMU, the IMU is installed on rotation mechanism with non-coincidence. The symmetric part of inertial device deviation can be compensated by the positive and negative cancellation of the device deviation in the rotation axis direction and the rotation modulation in the vertical plane of the rotary axis. The …

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Camera-Based Distance Sensor, Kai Schmidt, Evan Holmes Jun 2018

Camera-Based Distance Sensor, Kai Schmidt, Evan Holmes

Interdisciplinary Design Senior Theses

While working on a robotics project at the electrical contracting company for which we work, we discovered a gap in the electronic distance sensor market in terms of range, accuracy, precision, and cost. We designed and constructed a prototype for an electronic distance sensing component which utilizes a camera, laser, and image processor to measure distances. The laser is pointed at a surface and an image of the laser dot is captured. An image processing algorithm determines the pixel position of the dot in the image, and this position is compared to a lookup table of known values to determine …

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Computational Music Biofeedback For Stress Relief, Jason Capili, Mark Hattori, Maile Naito Jun 2018

Computational Music Biofeedback For Stress Relief, Jason Capili, Mark Hattori, Maile Naito

Computer Science and Engineering Senior Theses

The purpose of our project is to use EEG technology to combat stress in our daily lives. One of the most accessible EEG technologies that targets this challenge is the Muse headband, a wearable device that pairs with a phone application to help users train their brains to relax. The applications main goal is to help users train their brain to be more relaxed by monitoring and reporting their levels of stress. However, one of the shortcomings we noticed is that the constant notifications of how stressed we are actually adds to the level of stress as opposed to helping …

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Scu Events, Kellen Bryan, Danno Mayer Jun 2018

Scu Events, Kellen Bryan, Danno Mayer

Computer Science and Engineering Senior Theses

As students at Santa Clara University for the past four years, we have noticed a lack of student participation in school-sponsored events. Sporting events, art exhibits, student performances and so on do not draw the desired participation from the Santa Clara community. Part of this problem is that the university’s event calendar page is unorganized, lacks a comprehensive list of SCU events and has a poor user interface. Without a comprehensive, centralized place to find information on Santa Clara events, it is difficult for people to attend events and even more challenging to increase awareness about what is happening on …

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Snap-N-Snack: A Food Image Recognition Application, Stephen Hoff, Patterson Jaffurs, Michael Enriquez, Quintin Wilde Jun 2018

Snap-N-Snack: A Food Image Recognition Application, Stephen Hoff, Patterson Jaffurs, Michael Enriquez, Quintin Wilde

Computer Science and Engineering Senior Theses

Many people desire to be informed about the nutritional specifics of the food they consume. Current popular dietary tracking methods are too slow and tedious for a lot of consumers due to requiring manual data entry for everything eaten. We propose a system that will take advantage of image recognition and the internal camera of Android phones to identify food based off of a picture of a user’s plate. Over the course the last year, we trained an object detection model with images of different types of food, built a mobile application around it, and tested their integration and performance. …

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Symptom Search: Predicting Symptom And Product Correlations Using Fda Adverse Effects Reports, Isabela Figueira, Neesha Godbole, Angelina Poole, Kelly Wesley Jun 2018

Symptom Search: Predicting Symptom And Product Correlations Using Fda Adverse Effects Reports, Isabela Figueira, Neesha Godbole, Angelina Poole, Kelly Wesley

Computer Science and Engineering Senior Theses

Prescription and over-the-counter drugs are abundant now more than ever, and many people use them on a regular basis. These drugs come with a variety of side e↵ects, ranging from common to very rare. However, the symptoms listed on drug packaging might not be the only symptoms that a consumer might experience when taking a specific drug. When experiencing a symptom, consumers might think they have a disease, turn to the Web for answers, and attempt to diagnose themselves when a disease is not necessarily the cause. Instead, these symptoms might be reactions to medications; however, the first thought that …

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Authenticated Authorship, Andrew Leonard, Mikhail Smelik, Stephen Chuang Jun 2018

Authenticated Authorship, Andrew Leonard, Mikhail Smelik, Stephen Chuang

Computer Science and Engineering Senior Theses

Recently there has been an increase of fake news which makes it so that people have a more difficult time of understanding if the article that they are reading is real or not. In addition, it is significantly easier for people to fabricate an article and pose it as if it was created by another person. Our solution to these problems is to create a system which will allow authors to sign their documents and publish them with a generated signature. This signature will allow readers to see if the article has not been tampered with as well as find …

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Virtual Museum For Nacha, Sonali Chaudhry, Alisa Hawthorne Jun 2018

Virtual Museum For Nacha, Sonali Chaudhry, Alisa Hawthorne

Computer Science and Engineering Senior Theses

Our team worked with the Nso’ Arts and Cultural Heritage Association and created a virtual museum in order to increase awareness of the unique culture of the Nso’ people in Cameroon, Africa. A lot of information from this region is in danger of being lost due to political tension and poor artifact conservation, and many people, including the Cameroonian youth, are not prioritizing the preservation of their culture and history. Creating a website where individuals can view the art, history, and culture found in Cameroon is the best way to increase the availability of knowledge of the Nso’ people. Such …

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Halo - A Personal Iot Air Monitor Powered By Harvested Energy, Benjamin Lampe, Taylor Mau, Samantha Morehead, Naeem Turner-Bandele Jun 2018

Halo - A Personal Iot Air Monitor Powered By Harvested Energy, Benjamin Lampe, Taylor Mau, Samantha Morehead, Naeem Turner-Bandele

Interdisciplinary Design Senior Theses

Urban air pollution leads to widespread respiratory illness and millions of deaths annually. PM2.5, particulate matter with a diameter less than 2.5 micrometers, is the product of many common combustion reactions and poses a particularly serious health risk. Its small size allows it to penetrate deep into the lungs and enter the bloodstream. Existing air quality monitors are aimed at scientific research, di↵erentiating between pollutants and providing high accuracy in measurement. These devices are prohibitively expensive and cannot easily be carried around. Due to the highly localized nature of air pollution, and in order to allow individuals and institutions to …

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Detecting Wildlife In Unmanned Aerial Systems Imagery Using Convolutional Neural Networks Trained With An Automated Feedback Loop, Connor Bowley, Marshall Bowley, Andrew Barnas, Susan Ellis-Felege, Travis Desell Jun 2018

Detecting Wildlife In Unmanned Aerial Systems Imagery Using Convolutional Neural Networks Trained With An Automated Feedback Loop, Connor Bowley, Marshall Bowley, Andrew Barnas, Susan Ellis-Felege, Travis Desell

Computer Science Faculty Publications

Using automated processes to detect wildlife in uncontrolled outdoor imagery in the field of wildlife ecology is a challenging task. This is especially true in imagery provided by an Unmanned Aerial System (UAS), where the relative size of wildlife is small and visually similar to its background. This work presents an automated feedback loop which can be used to train convolutional neural networks with extremely unbalanced class sizes, which alleviates some of these challenges. This work utilizes UAS imagery collected by the Wildlife@Home project, which has employed citizen scientists and trained experts to go through collected UAS imagery and classify …

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Vplot, Dante Dalla Gasperina, Kush Mahajani, Alex Martin, Collin Walther Jun 2018

Vplot, Dante Dalla Gasperina, Kush Mahajani, Alex Martin, Collin Walther

Computer Science and Engineering Senior Theses

Robotic systems under development in the Santa Clara University Robotic Systems Laboratory (RSL) generate large amounts of data that must be interpreted in real-time. Many dimensions of this data must be visualized at once, such as temperature, location, and certainty of the measurement. Current data visualization softwares (such as Mathematica and Simulink) are ill-suited to visualize this much data, due to lack of customization. To solve this, we propose a system that allows users to view real-time streaming data in a virtual reality environment. This allows the user to easily interpret large, detailed datasets through an intuitive interface.

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Human Attention Region Of Interest In Video Compression, Olayinka Sylvia N’Guessan Jun 2018

Human Attention Region Of Interest In Video Compression, Olayinka Sylvia N’Guessan

Engineering Ph.D. Theses

In this thesis, we propose a generic human attention region-of-interest (Generic- HAROI) algorithm to improve video compression while preserving subjective quality. Precisely, this algorithm performs a perceptual adaptive quantization algorithm on video frames as a function of the distribution of their luminance, motion vector, and color saturation. Our research incorporates a psycho-visual study that demonstrated that human attention automatically enhanced perceived saturation. As a result, the adaptive quantization phase of our compression algorithm is characterized by a luminance and saturation-aware just noticeable distortion (JND) function. After running multiple experiments on 18 videos with various resolutions ranging from QCIF to 4K, …

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