Computer Engineering Commons^™

Ability Sports And Education Festival Mobile Application, Thomas Saldana

Electronic Theses, Projects, and Dissertations

The purpose of this project is to create an iOS native mobile application for the Ability Sports & Education Festival at the California State University of San Bernardino. The iOS application will solve three business needs. First, it will allow participants to view the events, hours, schedules, coaches, and resources of the Ability Sports and Education Festival. Second, it will allow participants to route, search, and find event locations using ArcGIS. Lastly, it will allow participants to register for the event right from their phones.

Ict Competencies In Eight Mayan-Speaking Communities Of Mexico: Preliminary Findings, J. Gabriel D. Domínguez Castillo, Alexander N. Chen, Mark E. Mcmurtrey Ph.D., Edith J. Cisneros Cohernour, Marianne Gabriel

Journal of International Technology and Information Management

The skills related to the use of information and communication technologies (ICT) were examined in this study within the context of eight communities with a high degree of vulnerability and diversity. The objectives of the study were: a) to conduct a diagnosis of thirteen competencies related to the use of ICT in eight Mayan-speaking communities in the state of Yucatan, Mexico, and b) to examine such variables as gender, marital status, and the education level of their parents. in relation to the degree of ICT among these youth.

The findings indicate that there are differences in the use of technology …

Timeline2gui: A Log2timeline Csv Parser And Training Scenarios, Mark Debinski, Parvathy Mohan, Frank Breitinger

Electrical & Computer Engineering and Computer Science Faculty Publications

Crimes involving digital evidence are getting more complex due to the increasing storage capacities and utilization of devices. Event reconstruction (i.e., understanding the timeline) is an essential step for investigators to understand a case where a prominent tool is Log2Timeline (a tool that creates super timelines which is a combination of several log files and events throughout a system). While these timelines provide great evidence and help to understand a case, they are complex and require tools as well as training scenarios. In this paper we present Timeline2GUI an easy-to-use python implementation to analyze CSV log files create by Log2Timeline. …

Ict: In-Field Calibration Transfer For Air Quality Sensor Deployments, Yun Cheng, Xiaoxi He, Zimu Zhou, Lothar Thiele

Research Collection School Of Computing and Information Systems

Recent years have witnessed a growing interest in urban air pollution monitoring, where hundreds of low-cost air quality sensors are deployed city-wide. To guarantee data accuracy and consistency, these sensors need periodic calibration after deployment. Since access to ground truth references is often limited in large-scale deployments, it is difficult to conduct city-wide post-deployment sensor calibration. In this work we propose In-field Calibration Transfer (ICT), a calibration scheme that transfers the calibration parameters of source sensors (with access to references) to target sensors (without access to references). On observing that (i) the distributions of ground truth in both source and …

Towards Ai Welfare Science And Policies, Soenke Ziesche, Roman Yampolskiy

Faculty and Staff Scholarship

In light of fast progress in the field of AI there is an urgent demand for AI policies. Bostrom et al. provide “a set of policy desiderata”, out of which this article attempts to contribute to the “interests of digital minds”. The focus is on two interests of potentially sentient digital minds: to avoid suffering and to have the freedom of choice about their deletion. Various challenges are considered, including the vast range of potential features of digital minds, the difficulties in assessing the interests and wellbeing of sentient digital minds, and the skepticism that such research may encounter. Prolegomena …

Reviews To Rating Conversion And Analysis Using Machine Learning Techniques, Charitha Chanamolu

Electronic Theses, Projects, and Dissertations

With the advent of technology in recent years, people depend more on online reviews to purchase a product. It is hard to determine whether the product is good or bad from hundreds of mixed reviews. Also, it is very time-consuming to read many reviews. So, opinion mining of reviews is necessary.

The main aim of this project is to convert the reviews of a product into a rating and to evaluate the ratings using machine learning algorithms such as Naïve Bayes and Support Vector Machine. In the process of converting the reviews to a rating, score words are created using …

A Bidirectional Soft-Switched Dab-Based Single-Stage Three-Phase Ac–Dc Converter For V2g Application, Dibaker Das, Nathan Weise, Kaushik Basu, Rohit Baranwal, Ned Mohan

Electrical and Computer Engineering Faculty Research and Publications

In vehicle-to-grid applications, the battery charger of the electric vehicle (EV) needs to have a bidirectional power flow capability. Galvanic isolation is necessary for safety. An ac-dc bidirectional power converter with high-frequency isolation results in high power density, a key requirement for an on-board charger of an EV. Dual-active-bridge (DAB) converters are preferred in medium power and high voltage isolated dc-dc converters due to high power density and better efficiency. This paper presents a DAB-based three-phase ac-dc isolated converter with a novel modulation strategy that results in: 1) single-stage power conversion with no electrolytic capacitor, improving the reliability and power …

Toward A Sustainable More Electrified Future: The Role Of Electrical Machines And Drives, Ayman M. El-Refaie

Electrical and Computer Engineering Faculty Research and Publications

This article provided an overview of the broad range of applications in which advanced electrical machines and drives play a key role. There are many applications that require steep change in the performance of electrical machines and drives. In addition to novel topologies and design optimization, a broad range of enabling technologies, including advanced materials and thermal management, will play a key role in meeting the ever-growing requirements of the aforementioned applications. Judging by the breadth of the applications and the very demanding requirements in terms of system footprint, efficiency cost, and reliability R&D efforts in the area of advanced …

Investigation Of Fault-Tolerant Capabilities In An Advanced Three-Level Active T-Type Converter, Ramin Katebi, Jiangbiao He, Nathan Weise

Electrical and Computer Engineering Faculty Research and Publications

A novel fault-tolerant three-level power converter topology, named advanced three-level active T-Type (A₃L-ATT) converter, is introduced to increase the reliability of multilevel power converters used in safety-critical applications. This new fault-tolerant multilevel power converter is derived from the conventional T-Type converter topology. The topology has significantly improved the fault-tolerant capability under any open circuit or certain short-circuit faults in the semiconductor devices. In addition, under healthy condition, the redundant phase leg can be utilized to share overload current with other main legs, which enhances the overload capability of the converter. The conduction losses in the original outer devices …

High Specific Power Electrical Machines: A System Perspective, Ayman M. El-Refaie, Mohamed Osama

Electrical and Computer Engineering Faculty Research and Publications

There has been a growing need for high specific power electrical machines for a wide range of applications. These include hybrid/electric traction applications, aerospace applications and Oil and Gas applications. A lot of work has been done to accomplish significantly higher specific power electrical machines especially for aerospace applications. Several machine topologies as well as thermal management schemes have been proposed. Even though there has been a few publications that provided an overview of high-speed and high specific power electrical machines [1-3], the goal of this paper is to provide a more comprehensive review of high specific power electrical machines …

Great Modules In Drupal 7... And Drupal 8...?, Rachel S. Evans, Lauren Blais

Presentations

The two presenters each shared their favorite Drupal modules, giving site examples of each in action and talking about the benefits and drawbacks of each. Most UGA websites using Drupal are in the process of migrating content from 7 to 8, so each module discussed was then described in terms of availability in 8. The following five modules were explored:

• Quick Tabs
• Flex Slider
• Geolocation and Leaflet
• Biblio (not in D8)
• Environment Indicator

End To End Satellite Servicing And Space Debris Management, Aman Chandra, Himangshu Kalita, Roberto Furfaro, Jekan Thanga

Space Traffic Management Conference

There is growing demand for satellite swarms and constellations for global positioning, remote sensing and relay communication in higher LEO orbits. This will result in many obsolete, damaged and abandoned satellites that will remain on-orbit beyond 25 years. These abandoned satellites and space debris maybe economically valuable orbital real-estate and resources that can be reused, repaired or upgraded for future use. Space traffic management is critical to repair damaged satellites, divert satellites into warehouse orbits and effectively deorbit satellites and space debris that are beyond repair and salvage. Current methods for on-orbit capture, servicing and repair require a large service …

Analogies And Comparisons For Stm Data Bodies, Phillip M. Cunio, Brien Flewelling

Space Traffic Management Conference

Space Traffic Management (STM) has already demonstrated its potential to be extremely data-intensive. The large number of objects on orbit today, if observed constantly throughout their lifetimes, could produce a staggeringly large number of observations that might in turn generate large numbers of orbits. Orbit data with a lengthy time history can be used to produce estimates of maneuver frequency, susceptibility to natural forces such as drag, and (if combined with photometric data) assessments of behavioral patterns of life.

A future of mega-constellations and a growing number of nations and organizations with assets on orbit would make it likely that …

Advanced Inflatable De-Orbit Solutions For Derelict Satellites And Orbital Debris, Aman Chandra, Greg Wilburn, Jekan Thanga

Space Traffic Management Conference

The exponential rise in small-satellites and CubeSats in Low Earth Orbit (LEO) poses important challenges for future space traffic management. At altitudes of 600 km and lower, aerodynamic drag accelerates de-orbiting of satellites. However, placement of satellites at higher altitudes required for constellations pose important challenges. The satellites will require on-board propulsion to lower their orbits to 600 km and let aerodynamic drag take-over. In this work we analyze solutions for de-orbiting satellites at altitudes of up to 3000 km. We consider a modular robotic de-orbit device that has stowed volume of a regular CubeSat. The de-orbit device would be …

Chip-Off Success Rate Analysis Comparing Temperature And Chip Type, Choli Ence, Joan Runs Through, Gary D. Cantrell

Journal of Digital Forensics, Security and Law

Throughout the digital forensic community, chip-off analysis provides examiners with a technique to obtain a physical acquisition from locked or damaged digital device. Thermal based chip-analysis relies upon the application of heat to remove the flash memory chip from the circuit board. Occasionally, a flash memory chip fails to successfully read despite following similar protocols as other flash memory chips. Previous research found the application of high temperatures increased the number of bit errors present in the flash memory chip. The purpose of this study is to analyze data collected from chip-off analyses to determine if a statistical difference exists …

Application Of The Second-Order Comprehensive Adjoint Sensitivity Analysis Methodology To Compute First- And Second-Order Sensitivities Of Flux Functionals In A Multiplying System With Source, Dan Gabriel Cacuci

Faculty Publications

This work presents an application of the Second-Order Adjoint Sensitivity Analysis Methodology (2nd-ASAM) to the neutron transport Boltzmann equation that models a multiplying subcritical system comprising a nonfission neutron source to compute efficiently and exactly all of the first- and second-order functional derivatives (sensitivities) of a detector’s response to all of the model’s parameters, including isotopic number densities, microscopic cross sections, fission spectrum, sources, and detector response function. As indicated by the general theoretical considerations underlying the 2nd-ASAM, the number of computations required to obtain the first and second orders increases linearly in augmented Hilbert spaces as opposed to increasing …

Is Dns Ready For Ubiquitous Internet Of Things?, Zhiwei Yan, Hongtao Li, Sherali Zeadally, Yu Zheng, Guanggang Geng

Information Science Faculty Publications

The vision of the Internet of Things (IoT) covers not only the well-regulated processes of specific applications in different areas but also includes ubiquitous connectivity of more generic objects (or things and devices) in the physical world and the related information in the virtual world. For example, a typical IoT application, such as a smart city, includes smarter urban transport networks, upgraded water supply, and waste-disposal facilities, along with more efficient ways to light and heat buildings. For smart city applications and others, we require unique naming of every object and a secure, scalable, and efficient name resolution which can …

Shingled Magnetic Recording Disks For Mass Storage Systems, Quoc Minh Le

Engineering Ph.D. Theses

Disk drives have seen a dramatic increase in storage density over the last five decades, but to continue the growth seems difficult if not impossible because of physical limitations. One way to increase storage density is using a shingled magnetic recording (SMR) disk. Shingled writing is a promising technique that trades off the inability to update in-place for narrower tracks and thus a much higher data density. It is particularly appealing as it can be adopted while utilizing essentially the same physical recording mechanisms currently in use. Because of its manner of writing, an SMR disk would be unable to …

Applications Of Supervised Machine Learning In Autism Spectrum Disorder Research: A Review, Kayleigh K. Hyde, Marlena N. Novack, Nicholas Lahaye, Chelsea Parlett-Pelleriti, Raymond Anden, Dennis R. Dixon, Erik Linstead

Engineering Faculty Articles and Research

Autism spectrum disorder (ASD) research has yet to leverage "big data" on the same scale as other fields; however, advancements in easy, affordable data collection and analysis may soon make this a reality. Indeed, there has been a notable increase in research literature evaluating the effectiveness of machine learning for diagnosing ASD, exploring its genetic underpinnings, and designing effective interventions. This paper provides a comprehensive review of 45 papers utilizing supervised machine learning in ASD, including algorithms for classification and text analysis. The goal of the paper is to identify and describe supervised machine learning trends in ASD literature as …

American Sign Language Recognition Using Machine Learning And Computer Vision, Kshitij Bantupalli, Ying Xie

Master of Science in Computer Science Theses

Speech impairment is a disability which affects an individual’s ability to communicate using speech and hearing. People who are affected by this use other media of communication such as sign language. Although sign language is ubiquitous in recent times, there remains a challenge for non-sign language speakers to communicate with sign language speakers or signers. With recent advances in deep learning and computer vision there has been promising progress in the fields of motion and gesture recognition using deep learning and computer vision-based techniques. The focus of this work is to create a vision-based application which offers sign language translation …

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 …

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 …

Optimal Design And Implementation Of Fractal Dipole Antenna Based On Arc Of Trigeminal Tree Structure, Xiaohong Zhang, Xiaoxiao Nan, Yixian Yang

Journal of System Simulation

Abstract: A RFID fractal dipole antenna is designed with the arc of the trigeminal tree structure, which is fed by simple microstrip balun to achieve better impedance matching within employing double parallel line structure and by using the dielectric substrate withε_r=4.4 and tan δ=0.035. The results of electromagnetic property simulation analysis of HFSS show that the return loss can reach 36dB, which is much higher than binary arc-shaped fractal antenna which is 16dB; and the impedance matching is very ideal. By physical processing and testing of the antenna, the measured results are in very good agreement with simulation …

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 …

Blind Separation Simulation System Of Sound Signals Based On Time-Frequency Analysis Of Short Time Fourier Transformation, Xiaorong Tong

Journal of System Simulation

Abstract: In order to improve the ability of real-time and separation accuracy, a blind separation algorithm based on time-frequency (TF) analysis of short time Fourier transformation is proposed, and the problems of underdetermined sound signal sorting can be solved effectively. The proposed method avoids some of the drawbacks, relaxes the assumption by allowing the sources to be TF-non-disjoint to a certain extent, and the algorithm can be achieved in the condition of TF-non-disjoint. This method was successfully applied to sound signal sorting system; the time domain waves of signals can be got; and the whole signal sorting process can be …

Evaluation Of Flow Line Structure Of Hospital With Spatial Cognitive Agent, Yunfeng Wang

Journal of System Simulation

Abstract: Hospital flow line is the result of the mutual adaptation of its spatial layout and business process, which should be regarded as an independent analysis unit in the spatial layout design. Aiming at the phenomenon that the flow lines have the characteristics of both space and flow and are difficult to analyze, a spatial cognitive process of agents is established by introducing structural elements from the spatial syntax analysis as the knowledge coding language of agents. Evaluation indexes of hospital flow line structure based on computational experiment are proposed and implemented. The framework of flow line analysis combining flow …

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 …

Evaluation And Modeling Of Visual Fatigue In 3d Display Based On Ecg, Danli Wang, Xinpan Yang, Yue Kang, Haichen Hu

Journal of System Simulation

Abstract: This study investigates and models the correlation between visual fatigue and ECG data by collecting the ECG data of the participants during watching 3D movies, combining with the subjective scores, the reaction time, and the questionnaires before and after the experiment. ECG data of 12 subjects were analyzed in both time and frequency domain. The results showed that subjective score and HR increased with the duration of viewing, while PNN50 decreased. Linear model of subjective score is established, and the R² of model is 0.930. Subjective questionnaires show significant changes in overall visual fatigue, dry eyes and nausea symptoms …

Centroidal Voronoi Tessellation With Local Optimization, Tianyu Ye, Yiqun Wang, Dongming Yan, Junhai Yong

Journal of System Simulation

Abstract: Centroidal Voronoi tessellation is a special geometric structure, which has many applications in various fields such as geographical information system, signal processing, mesh generation/optimization, visualization and so on. Due to the highly non-convex nature of the CVT energy function, the existing methods for computing CVT have several drawbacks, which always trap into local minima. We propose generation optimization and stochastic optimization schemes for further reducing the CVT energy. Experimental results show that the proposed method improves both quality and efficiency compared to the recent approaches.

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 …