Computer Engineering Commons^™

Do Constraints Facilitate Or Inhibit Creative Problem Solving: A Theoretical Explanation Of Two Seemingly Contradictory Experimental Studies, Karen Villaverde, Olga Kosheleva, Martine Ceberio

Departmental Technical Reports (CS)

Do constraints facilitate or inhibit creative problem solving? Recently, two experimental studies appeared, one showing that removing constraints may enhance creativity, another showing that adding constraints can facilitate creative problem solving. In this paper, we provide a theoretical explanation of these two seemingly contradictory experimental results.

Extreme Learning Machine Terrain-Based Navigation For Unmanned Aerial Vehicles, Ee May Kan, Meng Hiot Lim, Yew Soon Ong, Ah-Hwee Tan, Swee Ping Yeo

Research Collection School Of Computing and Information Systems

Unmanned aerial vehicles (UAVs) rely on global positioning system (GPS) information to ascertain its position for navigation during mission execution. In the absence of GPS information, the capability of a UAV to carry out its intended mission is hindered. In this paper, we learn alternative means for UAVs to derive real-time positional reference information so as to ensure the continuity of the mission. We present extreme learning machine as a mechanism for learning the stored digital elevation information so as to aid UAVs to navigate through terrain without the need for GPS. The proposed algorithm accommodates the need of the …

On Limitations Of Designing Usable Leakage-Resilient Password Systems: Attacks, Principles And Usability, Qiang Yan, Jin Han, Yingjiu Li, Huijie, Robert Deng

Research Collection School Of Computing and Information Systems

The design of leakage-resilient password systems (LRPSes) in the absence of trusted devices remains a challenging problem today despite two decades of intensive research in the security community. In this paper, we investigate the inherent tradeoff between security and usability in designing LRPS. First, we demonstrate that most of the existing LRPS systems are subject to two types of generic attacks - brute force and statistical attacks, whose power has been underestimated in the literature. Second, in order to defend against these two generic attacks, we introduce five design principles that are necessary to achieve leakage resilience in the absence …

A Review Of Situation Identification Techniques In Pervasive Computing, Juan Ye, Simon Dobson, Susan Mckeever

Articles

Pervasive systems must offer an open, extensible, and evolving portfolio of services which integrate sensor data from a diverse range of sources. The core challenge is to provide appropriate and consistent adaptive behaviours for these services in the face of huge volumes of sensor data exhibiting varying degrees of precision, accuracy and dynamism. Situation identification is an enabling technology that resolves noisy sensor data and abstracts it into higher-level concepts that are interesting to applications. We provide a comprehensive analysis of the nature and characteristics of situations, discuss the complexities of situation identification, and review the techniques that are most …

Cache Invalidation Strategies For Internet-Based Vehicular Ad Hoc Networks, Sunho Lim, Chansu Yu, Chita R. Das

Electrical and Computer Engineering Faculty Publications

Internet-based vehicular ad hoc network (Ivanet) is an emerging technique that combines a wired Internet and a vehicular ad hoc network (Vanet) for developing an ubiquitous communication infrastructure and improving universal information and service accessibility. A key design optimization technique in Ivanets is to cache the frequently accessed data items in a local storage of vehicles. Since vehicles are not critically limited by the storage/memory space and power consumption, selecting proper data items for caching is not very critical. Rather, an important design issue is how to keep the cached copies valid when the original data items are updated. This …

Towards Fine-Grained Radio-Based Indoor Location, Jie Xiong, Kyle Jamieson

Research Collection School Of Computing and Information Systems

Location systems are key to a rich experience for mobile users. When they roam outdoors, mobiles can usually count on a clear GPS signal for an accurate location, but indoors, GPS usually fades, and so up until recently, mobiles have had to rely mainly on rather coarse-grained signal strength readings for location. What has changed this status quo is the recent trend of dramatically increasing numbers of antennas at the indoor AP, mainly to bolster capacity and coverage with multiple-input, multiple-output (MIMO) techniques. In the near future, the number of antennas at the access point will increase several-fold, to meet …

Distributed Multichannel Speech Enhancement With Minimum Mean-Square Error Short-Time Spectral Amplitude, Log-Spectral Amplitude, And Spectral Phase Estimation, Marek B. Trawicki, Michael T. Johnson

Electrical and Computer Engineering Faculty Research and Publications

In this paper, the authors present optimal multichannel frequency domain estimators for minimum mean-square error (MMSE) short-time spectral amplitude (STSA), log-spectral amplitude (LSA), and spectral phase estimation in a widely distributed microphone configuration. The estimators utilize Rayleigh and Gaussian statistical models for the speech prior and noise likelihood with a diffuse noise field for the surrounding environment. Based on the Signal-to-Noise Ratio (SNR) and Segmental Signal-to-Noise Ratio (SSNR) along with the Log-Likelihood Ratio (LLR) and Perceptual Evaluation of Speech Quality (PESQ) as objective metrics, the multichannel LSA estimator decreases background noise and speech distortion and increases speech quality compared to …

Optimally Enhanced Optical Emission In Laser-Induced Breakdown Spectroscopy By Combining Spatial Confinement And Dual-Pulse Irradiation, L. B. Guo, B. Y. Zhang, X. N. He, C. M. Li, Y. S. Zhou, T. Wu, J. B. Park, X. Y. Zeng, Yongfeng Lu

Department of Electrical and Computer Engineering: Faculty Publications

In laser-induced breakdown spectroscopy (LIBS), a pair of aluminum-plate walls were used to spatially confine the plasmas produced in air by a first laser pulse (KrF excimer laser) from chromium (Cr) targets with a second laser pulse (Nd:YAG laser at 532 nm, 360 mJ/pulse) introduced parallel to the sample surface to re-excite the plasmas. Optical emission enhancement was achieved by combing the spatial confinement and dual-pulse LIBS (DP-LIBS), and then optimized by adjusting the distance between the two walls and the interpulse delay time between both laser pulses. A significant enhancement factor of 168.6 for the emission intensity of the …

An Approach To Stereo-Point Cloud Registration Using Image Homographies, Damian M. Lyons, Stephen D. Fox

Faculty Publications

No abstract provided.

Shifts In The Architecture Of The Nationwide Health Information Network, L. Lenert, D. Sundwall, Michael E. Lenert

Media Studies

In the midst of a US $30 billion USD investment in the Nationwide Health Information Network (NwHIN) and electronic health records systems, a significant change in the architecture of the NwHIN is taking place. Prior to 2010, the focus of information exchange in the NwHIN was the Regional Health Information Organization (RHIO). Since 2010, the Office of the National Coordinator (ONC) has been sponsoring policies that promote an internetlike architecture that encourages point to-point information exchange and private health information exchange networks. The net effect of these activities is to undercut the limited business model for RHIOs, decreasing the likelihood …

Non-Linear Dynamical Signal Characterization For Prediction Of Defibrillation Success Through Machine Learning, Sharad Shandilya, Kevin R. Ward, Michael Kurz, Kayvan Najarian

Computer Science Publications

Background

Ventricular Fibrillation (VF) is a common presenting dysrhythmia in the setting of cardiac arrest whose main treatment is defibrillation through direct current countershock to achieve return of spontaneous circulation. However, often defibrillation is unsuccessful and may even lead to the transition of VF to more nefarious rhythms such as asystole or pulseless electrical activity. Multiple methods have been proposed for predicting defibrillation success based on examination of the VF waveform. To date, however, no analytical technique has been widely accepted. We developed a unique approach of computational VF waveform analysis, with and without addition of the signal of end-tidal …

Fracture Detection In Traumatic Pelvic Ct Images, Jie Wu, Pavani Davuluri, Kevin R. Ward, Charles Cockrell, Rosalyn H. Hargraves, Kayvan Najarian

Computer Science Publications

Fracture detection in pelvic bones is vital for patient diagnostic decisions and treatment planning in traumatic pelvic injuries. Manual detection of bone fracture from computed tomography (CT) images is very challenging due to low resolution of the images and the complex pelvic structures. Automated fracture detection from segmented bones can significantly help physicians analyze pelvic CT images and detect the severity of injuries in a very short period. This paper presents an automated hierarchical algorithm for bone fracture detection in pelvic CT scans using adaptive windowing, boundary tracing, and wavelet transform while incorporating anatomical information. Fracture detection is performed on …

An Automated Optimal Engagement And Attention Detection System Using Electrocardiogram, Ashwin Belle, Rosalyn H. Hargraves, Kayvan Najarian

Computer Science Publications

This research proposes to develop a monitoring system which uses Electrocardiograph (ECG) as a fundamental physiological signal, to analyze and predict the presence or lack of cognitive attention in individuals during a task execution. The primary focus of this study is to identify the correlation between fluctuating level of attention and its implications on the cardiac rhythm recorded in the ECG. Furthermore, Electroencephalograph (EEG) signals are also analyzed and classified for use as a benchmark for comparison with ECG analysis. Several advanced signal processing techniques have been implemented and investigated to derive multiple clandestine and informative features from both these …

A Threshold-Based Approach To Calorimetry In Helium Droplets: Measurement Of Binding Energies Of Water Clusters, William K. Lewis, Barbara A. Harruff-Miller, Michael A. Gord, Joseph R. Gord, Elena A. Guliants, Christopher E. Bunker

Electrical and Computer Engineering Faculty Publications

Helium dropletbeam methods have emerged as a versatile technique that can be used to assemble a wide variety of atomic and molecular clusters. We have developed a method to measure the binding energies of clusters assembled in helium droplets by determining the minimum droplet sizes required to assemble and detect selected clusters in the spectrum of the dopeddropletbeam. The differences in the droplet sizes required between the various multimers are then used to estimate the incremental binding energies. We have applied this method to measure the binding energies of cyclic waterclusters from the dimer to the tetramer. We obtain measured …

Su People, Yuhan Xu, Paula Meseroll, Kathleen Haley, Jay Cox, Jim Reilly, Carol L. Boll

Syracuse University Magazine

No abstract provided.

Characterizing Performance Guarantees For Real-Time Multiagent Systems Operating In Noisy And Uncertain Environments, Damian M. Lyons, Ronald Arkin, Stephen Fox, Shu Jiang, Prem Nirmal, Munzir Zafar

Faculty Publications

Autonomous robots offer the potential to conduct Counter-Weapons of Mass Destruction (C-WMD) missions in an efficient and robust manner. However, to leverage this potential, a mission designer needs to be able to determine how well a robot system will operate in the noisy and uncertain environments that a C-WMD mission may require. We are developing a software framework for verification of performance guarantees for C-WMD missions based on the MissionLab software system and a novel process algebra approach to representing robot programs and operating environments.

In this paper, we report on our initial research for the Defense Threat Reduction Agency …

How Is M&S Interoperability Different From Other Interoperability Domains?, Andreas Tolk, Saikou Y. Diallo, Jose J. Padilla, Charles D. Turnitsa

Computational Modeling & Simulation Engineering Faculty Publications

During every standard workshop or event, the examples of working interoperability solutions are used to motivate for 'plug and play' standards for M&S as well, like standardized batteries for electronics, or the use of XML to exchange data between heterogeneous systems. While these are successful applications of standards, they are off the mark regarding M&S interoperability. The challenge of M&S is that the product that needs to be made interoperable is not the service or the system alone, but the model behind it as well. The paper shows that the alignment of conceptualizations is the real problem that is not …

Hear3d: A Study Of Spatial Sounds Effect On Language Learning, Brendan Cregan

Dissertations

Spatial sound is the manipulation of audio to add the illusion of position to the source of the sound, i.e. making sounds seem to originate from behind you or from different points around a room. Headphones must be used to achieve the optimum level of 3D sound. At any time over half a billion people are learning languages with the aide of audio which is why and the study of the effect or potential effects that the spatial sounds have on language learning is particularly interesting. If the application of spatial sounds to educational audio clips could be shown to …

Sports Data Mining Technology Used In Basketball Outcome Prediction, Chenjie Cao

Dissertations

Driven by the increasing comprehensive data in sports datasets and data mining technique successfully used in different area, sports data mining technique emerges and enables us to find hidden knowledge to impact the sport industry. In many instances, predicting the outcomes of sporting events has always been a challenging and attractive work and is therefore drawing a wide concern to conduct research in this field. This project focuses on using machine learning algorithms to build a model for predicting the NBA game outcomes and the algorithms involve Simple Logistics Classifier, Artificial Neural Networks, SVM and Naïve Bayes. In order to …

Accessible Information: Advocating The Use Of Technology For Individuals With Intellectual Disability On Their Path To Individualised Services, Michelle Moloney

Dissertations

Providing people with an intellectual disability (ID), opportunities for social integration have been shown to have a reliable positive influence on their well-being (Wehmeyer et al., 2006; Bunning, 2009). A large percentage of individuals with ID are unable to read and write. For this reason in order for the person to make an informed choice the person needs to have good information presented in a way that they can understand. They may need to see tangible visual aids (video, role play, film, photographs). It may need to be demonstrated to them a number of times. This assists a person in …

The Prevailing Obstacles In Web Accessibility On Three Well-Known Websites For Older People With Sight Difficulties, Sarah O'Reilly

Dissertations

Prior research has argued that there is no one best approach to evaluating web accessibility and proposes the adoption of multiple approaches. Following these proposals this research used three different approaches for evaluating accessibility on websites for accessibility to older persons with sight difficulties as there are advantages and disadvantages to each approach. Approached used included: (1) Using automated tools to determine accessibility, which looks at the code of websites to get a general overview of accessibility issues. (2) Manually looking at the design, code and also how it might impact the user. This involved a manual assessment of each …

Estimating Statistical Characteristics Of Lognormal And Delta-Lognormal Distributions Under Interval Uncertainty: Algorithms And Computational Complexity, Nitaya Buntao, Sa-Aat Niwitpong, Vladik Kreinovich

Departmental Technical Reports (CS)

Traditional statistical estimates S(x₁, ..., x_n) for different statistical characteristics S (such as mean, variance, etc.) implicitly assume that we know the sample values x₁, ..., x_n exactly. In practice, the sample values Xi come from measurements and are, therefore, in general, different from the actual (unknown) values x_i of the corresponding quantities. Sometimes, we know the probabilities of different values of the measurement error d_i = X_i - x_i, but often, the only information that we have about the measurement error is the upper bound D_{i …}

A Framework To Create Ontologies For Scientific Data Management, Leonardo Salayandia, Paulo Pinheiro Da Silva, Ann Q. Gates

Departmental Technical Reports (CS)

Scientists often build and use highly customized systems to support observation and analysis efforts. Creating effective ontologies to manage and share data products created from those systems is a difficult task that requires collaboration among domain experts, e.g., scientists and knowledge representation experts. A framework is presented that scientists can use to create ontologies that describe how customized systems capture and transform data into products that support scientific findings. The framework establishes an abstraction that leverages knowledge representation expertise to describe data transformation processes in a consistent way that highlights properties relevant to data users. The intention is to create …

Performance Study Of Ofdm Over Fading Channels For Wireless Communications, Ahmed Alshammari

Electronic Theses and Dissertations

Orthogonal Frequency Division Multiplexing (OFDM) is a very efficient multicarrier technique. OFDM is used more and more in recent wideband digital communications. It has numerous advantages such as the ability to handle severe channel conditions, efficient spectral usage, reduced inter symbol interference (ISI), and high data rate. Therefore, it has been utilized in many wired and wireless communication systems like DSL, wireless networks and 4G mobile communications.

Studying the performance of OFDM over different channels is the main focus of this research. Channels' environments simulated in Matlab are additive white Gaussian noise (AWGN) and fading channels. Each channel affects the …

Identification Of Influential Social Networkers, Magdalini Eirinaki, S. P. Singh Monga, S. Sundaram

Faculty Publications

Online social networking is deeply interleaved in today's lifestyle. People come together and build communities to share thoughts, offer suggestions, exchange information, ideas, and opinions. Moreover, social networks often serve as platforms for information dissemination and product placement or promotion through viral marketing. The success rate in this type of marketing could be increased by targeting specific individuals, called 'influential users', having the largest possible reach within an online community. In this paper, we present a method aiming at identifying the influential users within an online social networking application. We introduce ProfileRank, a metric that uses popularity and activity characteristics …

Predicting Speech Intelligibility, Andrew Hines [Thesis]

Other resources

Hearing impairment, and specifically sensorineural hearing loss, is an increasingly prevalent condition, especially amongst the ageing population. It occurs primarily as a result of damage to hair cells that act as sound receptors in the inner ear and causes a variety of hearing perception problems, most notably a reduction in speech intelligibility. Accurate diagnosis of hearing impairments is a time consuming process and is complicated by the reliance on indirect measurements based on patient feedback due to the inaccessible nature of the inner ear. The challenges of designing hearing aids to counteract sensorineural hearing losses are further compounded by the …

Towards Symmetry-Based Explanation Of (Approximate) Shapes Of Alpha-Helices And Beta-Sheets (And Beta-Barrels) In Protein Structure, Jaime Nava, Vladik Kreinovich

Departmental Technical Reports (CS)

Protein structure is invariably connected to protein function. There are two important secondary structure elements: alpha helices and beta-sheets (which sometimes come in a shape of beta-barrels). The actual shapes of these structures can be complicated, but in the first approximation, they are usually approximated by, correspondingly, cylindrical spirals and planes (and cylinders, for beta-barrels). In this paper, following the ideas pioneered by a renowned mathematician M. Gromov, we use natural symmetries to show that, under reasonable assumptions, these geometric shapes are indeed the best approximating families for secondary structures.

Cell Broadcast Simulation In Android, Uzzal Chandra Das

Theses Digitization Project

The purpose of this study is to show since no promising application of broadcasting exists and service providers do not provide broadcast channels in the US, a prototype can be very helpful to investigate the applications of broadcasting, and Cell Broadcast Simulation app will serve this purpose. The Cell Broadcast Simulation App on Android platform is an attempt to make cell broadcasting possible in the USA. The main focus of this app is to make cell broadcasting possible by giving the user a positive experience and expose them to its many potential uses.

Auto Smart Text And E-Mail Notification System (Astens), Ahmed Abdulghaffar Algadi

Theses Digitization Project

The purpose of Auto Smart Text and E-mail Notification System (ASTENS) project is to provide the California State University San Bernardino and other universities with a new easy, fast, and convenient way of communication between the faculty members and their students. ASTENS (Auto Smart Text and E-mail Notification System) provides two types of communication: class notifications and grade notifications. First, the class notifications allow an instructor to communicate with students registered in his/her class by using his/her cell phone or email. These notifications could be any message related to class (e.g. notes, reminder, announcement, etc.) and every student will be …

Jumpstarting A Global Mobile Computing Lab At Pace University, Christelle Scharff

Cornerstone 2 Reports : Community Outreach and Empowerment Through Service Learning and Volunteerism

Mobile applications are the future of computing. This project focuses on jumpstarting a mobile lab at Pace University. It reaches out to the university community and beyond by integrating different events including a competition on mobile application development and hosting external speakers. A high school event and a panel discussion with experts in the field are planned.