Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Engineering (10)
- Materials Science and Engineering (8)
- Physical Sciences and Mathematics (6)
- Computer Sciences (4)
- Engineering Education (4)
-
- Education (3)
- Educational Assessment, Evaluation, and Research (3)
- Mechanical Engineering (3)
- Ceramic Materials (2)
- Chemical Engineering (2)
- Chemistry (2)
- Electrical and Computer Engineering (2)
- Manufacturing (2)
- Physics (2)
- Social and Behavioral Sciences (2)
- Aerospace Engineering (1)
- Architecture (1)
- Art and Design (1)
- Arts and Humanities (1)
- Biomedical Engineering and Bioengineering (1)
- Civil and Environmental Engineering (1)
- Communication (1)
- Condensed Matter Physics (1)
- Curriculum and Instruction (1)
- Educational Methods (1)
- Educational Psychology (1)
- Electromagnetics and Photonics (1)
- Engineering Physics (1)
- Industrial Engineering (1)
- Keyword
-
- Acetic acid (1)
- Al 2O 3 (1)
- All-pairs (1)
- Aluminum oxide (1)
- Amino acid (1)
-
- Antimicrobial resistance (1)
- Autonomous vehicles (1)
- Bacterial evolution (1)
- Batteries (1)
- Bounded similarity graph (1)
- Ceramic on‐demand extrusion (1)
- Classification Decision Tree (1)
- Complex phenotype (1)
- Cosine similarity (1)
- Design prototyping (1)
- E. coli (1)
- Experimental evolution (1)
- Extrusion‐based additive manufacturing (1)
- Geometric sequence (1)
- Intrusion detection system (1)
- Legendre symbol (1)
- Mechanical properties (1)
- Membrane integrity (1)
- Methods (1)
- Multi-valued sequence (1)
- Nearest neighbors (1)
- Neighborhood graph construction (1)
- Network attacks (1)
- Network measurement (1)
- Neural networks (1)
Articles 1 - 30 of 32
Full-Text Articles in Engineering
Sexual Recombination And Increased Mutation Rate Expedite Evolution Of Escherichia Coli In Varied Fitness Landscapes, George Peabody, Hao Li, Katy Kao
Sexual Recombination And Increased Mutation Rate Expedite Evolution Of Escherichia Coli In Varied Fitness Landscapes, George Peabody, Hao Li, Katy Kao
Faculty Publications
Sexual recombination and mutation rate are theorized to play different roles in adaptive evolution depending on the fitness landscape; however, direct experimental support is limited. Here we examine how these factors affect the rate of adaptation utilizing a “genderless” strain of Escherichia coli capable of continuous in situ sexual recombination. The results show that the populations with increased mutation rate, and capable of sexual recombination, outperform all the other populations. We further characterize two sexual and two asexual populations with increased mutation rate and observe maintenance of beneficial mutations in the sexual populations through mutational sweeps. Furthermore, we experimentally identify …
Parallel Cosine Nearest Neighbor Graph Construction, David Anastasiu, George Karypis
Parallel Cosine Nearest Neighbor Graph Construction, David Anastasiu, George Karypis
Faculty Publications
The nearest neighbor graph is an important structure in many data mining methods for clustering, advertising, recommender systems, and outlier detection. Constructing the graph requires computing up to n2 similarities for a set of n objects. This high complexity has led researchers to seek approximate methods, which find many but not all of the nearest neighbors. In contrast, we leverage shared memory parallelism and recent advances in similarity joins to solve the problem exactly. Our method considers all pairs of potential neighbors but quickly filters pairs that could not be a part of the nearest neighbor graph, based on similarity …
Development And Field Testing Of An Interactive Transit Station Information System (Itsis) Using Connected Vehicle Technologies, Huadong Meng, Jacob Tsao, Kun Zhou, Justin Picar, Bradley Mizuno, Wei-Bin Zhang
Development And Field Testing Of An Interactive Transit Station Information System (Itsis) Using Connected Vehicle Technologies, Huadong Meng, Jacob Tsao, Kun Zhou, Justin Picar, Bradley Mizuno, Wei-Bin Zhang
Faculty Publications
The objective of Interactive Transit Station Information System (ITSIS) is to better inform transit travelers during their trips and to enable dynamic transit operations to better serve travelers. The ultimate goal is to make transit more friendly and attractive to the traveling population such that transit will become a viable choice for travel and an integrated part of the solution for congestion relief. This report documents a research effort to develop and test a ITSIS prototype that uses Connected Vehicle technologies to enable the real-time interaction between passengers and transit systems at bus stations. The reports summarizes the findings from …
Document Clustering, David Anastasiu, Andrea Tagarelli
Document Clustering, David Anastasiu, Andrea Tagarelli
Faculty Publications
In a world flooded with information, document clustering is an important tool that can help categorize and extract insight from text collections. It works by grouping similar documents, while simultaneously discriminating between groups. In this article, we provide a brief overview of the principal techniques used to cluster documents, and introduce a series of novel deep-learning based methods recently designed for the document clustering task. In our overview, we point the reader to salient works that can provide a deeper understanding of the topics discussed.
High Temperature Magneto-Structural Transition In Van Der Waals-Layered -Mocl3, Michael Mcguire, Jiaqiang Yan, Paula Lampen-Kelley, Andrew May, Valentino Cooper, Lucas Lindsay, Alexander Puretzky, Liangbo Liang, Santosh Kc, Ercan Cakmak, Stuart Calder, Brian Sales
High Temperature Magneto-Structural Transition In Van Der Waals-Layered -Mocl3, Michael Mcguire, Jiaqiang Yan, Paula Lampen-Kelley, Andrew May, Valentino Cooper, Lucas Lindsay, Alexander Puretzky, Liangbo Liang, Santosh Kc, Ercan Cakmak, Stuart Calder, Brian Sales
Faculty Publications
The crystallographic and magnetic properties of the cleavable 4d3 transition metal compound α−MoCl3 are reported, with a focus on the behavior above room temperature. Crystals were grown by chemical vapor transport and characterized using temperature dependent x-ray diffraction, Raman spectroscopy, and magnetization measurements. A structural phase transition occurs near 585 K, at which the Mo-Mo dimers present at room temperature are broken. A nearly regular honeycomb net of Mo is observed above the transition, and an optical phonon associated with the dimerization instability is identified in the Raman data and in first-principles calculations. The crystals are diamagnetic at room temperature …
Efficient Identification Of Tanimoto Nearest Neighbors; All Pairs Similarity Search Using The Extended Jaccard Coefficient, David Anastasiu, George Karypis
Efficient Identification Of Tanimoto Nearest Neighbors; All Pairs Similarity Search Using The Extended Jaccard Coefficient, David Anastasiu, George Karypis
Faculty Publications
Tanimoto, or extended Jaccard, is an important similarity measure which has seen prominent use in fields such as data mining and chemoinformatics. Many of the existing state-of-the-art methods for market basket analysis, plagiarism and anomaly detection, compound database search, and ligand-based virtual screening rely heavily on identifying Tanimoto nearest neighbors. Given the rapidly increasing size of data that must be analyzed, new algorithms are needed that can speed up nearest neighbor search, while at the same time providing reliable results. While many search algorithms address the complexity of the task by retrieving only some of the nearest neighbors, we propose …
Classifying And Predicting Occupational Incident Severity, Fatemeh Davoudi Kakhki, Steven Freeman, Gretchen Mosher
Classifying And Predicting Occupational Incident Severity, Fatemeh Davoudi Kakhki, Steven Freeman, Gretchen Mosher
Faculty Publications
The focus of the study is to build a predictive model and assess its performance in classifying the financial severity of occupational injuries in agribusiness bulk storage facilities (i.e. grain elevators). The data specifically look at food processing and feed milling operations within these facilities. The severity of occupational injuries is determined by the total dollar amount incurred on medical costs, indemnity costs and other expenses in workers’ compensation claims. The data is available from an agribusiness insurance provider in Midwest USA. First, the most important independent variables that affect the total cost of claims are extracted from the original …
Superconductivity At Т≈200 K In Bismuth Cuprates Synthesized Using Solar Energy, J. Chigvinadze, Juana Acrivos, S. Ashimov, D. Gulamova, G. Donadze
Superconductivity At Т≈200 K In Bismuth Cuprates Synthesized Using Solar Energy, J. Chigvinadze, Juana Acrivos, S. Ashimov, D. Gulamova, G. Donadze
Faculty Publications, Chemistry
When investigating low-frequency (0.1 Hz) oscillations of multiphase high-temperature cuprate superconductors (HTCS) Bi1,7Pb0,3Sr2Ca(n-1)CunOy (n=2-30), a wide attenuation peak (ΔT~100 К) with a maximum at Т≈200 К was detected. This peak was particularly pronounced in field cooling (FC) experiments, i.e. after abrupt cooling of the sample in the external magnetic field at the temperature Т<Тс with subsequent slow warming up to room temperature with invariance of the applied field. The attenuation peak height depended on the preliminaryorientation (before cooling) of the samples θ in the measured permanent magnetic field Н. On the one hand, it is well known that, after the FC procedure and subsequent slow warming up, at the temperatures close to the critical temperature Тс, the attenuation peak associated with “melting” of the Abrikosov frozen vortex structure and its disappearance at Т >Тс is detected in monophase samples. At the same time, in most multiphase bismuth HTCS samples, synthesized using solar energy and superfast quenching of the melt, the attenuation peak with the maximum at Т≈200 К was observed.Depending on the conditions of synthesis, the attenuation peak could …
A Framework For Recommendation Of Highly Popular News Lacking Social Feedback, Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco
A Framework For Recommendation Of Highly Popular News Lacking Social Feedback, Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco
Faculty Publications
Social media is rapidly becoming the main source of news consumption for users, raising significant challenges to news aggregation and recommendation tasks. One of these challenges concerns the recommendation of very recent news. To tackle this problem, approaches to the prediction of news popularity have been proposed. In this paper, we study the task of predicting news popularity upon their publication, when social feedback is unavailable or scarce, and to use such predictions to produce news rankings. Unlike previous work, we focus on accurately predicting highly popular news. Such cases are rare, causing known issues for standard prediction models and …
Spin-Imbalance In A 2d Fermi-Hubbard System, Peter Brown, Debayan Mitra, Elmer Guardado-Sanchez, Peter Schauß, Stanimir Kondov, Ehsan Khatami, Thereza Paiva, Nandini Trivedi, David Huse, Waseem Bakr
Spin-Imbalance In A 2d Fermi-Hubbard System, Peter Brown, Debayan Mitra, Elmer Guardado-Sanchez, Peter Schauß, Stanimir Kondov, Ehsan Khatami, Thereza Paiva, Nandini Trivedi, David Huse, Waseem Bakr
Faculty Publications
The interplay of strong interactions and magnetic fields gives rise to unusual forms of superconductivity and magnetism in quantum many-body systems. Here, we present an experimental study of the two-dimensional Fermi-Hubbard model—a paradigm for strongly correlated fermions on a lattice—in the presence of a Zeeman field and varying doping. Using site-resolved measurements, we revealed anisotropic antiferromagnetic correlations, a precursor to long-range canted order. We observed nonmonotonic behavior of the local polarization with doping for strong interactions, which we attribute to the evolution from an antiferromagnetic insulator to a metallic phase. Our results pave the way to experimentally mapping the low-temperature …
Examining Accident Reports Involving Autonomous Vehicles In California, Francesca Favaro, Nazanin Nader, Sky Eurich, Michelle Tripp, Naresh Varadaraju
Examining Accident Reports Involving Autonomous Vehicles In California, Francesca Favaro, Nazanin Nader, Sky Eurich, Michelle Tripp, Naresh Varadaraju
Faculty Publications
Autonomous Vehicle technology is quickly expanding its market and has found in Silicon Valley, California, a strong foothold for preliminary testing on public roads. In an effort to promote safety and transparency to consumers, the California Department of Motor Vehicles has mandated that reports of accidents involving autonomous vehicles be drafted and made available to the public. The present work shows an in-depth analysis of the accident reports filed by different manufacturers that are testing autonomous vehicles in California (testing data from September 2014 to March 2017). The data provides important information on autonomous vehicles accidents’ dynamics, related to the …
Robust Classification Of City Roadway Objects For Traffic Related Applications, Niveditha Bhandary, Charles Mackay, Alex Richards, Ji Tong, David Anastasiu
Robust Classification Of City Roadway Objects For Traffic Related Applications, Niveditha Bhandary, Charles Mackay, Alex Richards, Ji Tong, David Anastasiu
Faculty Publications
The increasing prevalence of video data, particularly from traffic and surveillance cameras, is accompanied by a growing need for improved object detection, tracking, and classification techniques. In order to encourage development in this area, the AI City Challenge, sponsored by IEEE Smart World and NVIDIA, cultivated a competitive environment in which teams from all over the world sought to demonstrate the effectiveness of their models after training and testing on a common dataset of 114,766 unique traffic camera keyframes. Models were constructed for two distinct purposes; track 1 designs addressed object detection, localization and classification, while track 2 designs aimed …
The Nvidia Ai City Challenge, Milind Naphade, David Anastasiu, Anuj Sharma, Vamsi Jagrlamudi, Hyeran Jeon, Kaikai Liu, Ming-Ching Chang, Siwei Lyu, Zeyu Gao
The Nvidia Ai City Challenge, Milind Naphade, David Anastasiu, Anuj Sharma, Vamsi Jagrlamudi, Hyeran Jeon, Kaikai Liu, Ming-Ching Chang, Siwei Lyu, Zeyu Gao
Faculty Publications
Web image analysis has witnessed an AI renaissance. The ILSVRC benchmark has been instrumental in providing a corpus and standardized evaluation. The NVIDIA AI City Challenge is envisioned to provide similar impetus to the analysis of image and video data that helps make cities smarter and safer. In its first year, this Challenge has focused on traffic video data. While millions of traffic video cameras around the world capture data, albeit low-quality, very little automated analysis and value creation results. Lack of labeled data, and trained models that can be deployed at the edge of the city fabric, ensure that …
Optimal Constrained Wireless Emergency Network Antenna Placement, Swapnil Gaikwad, David Anastasiu
Optimal Constrained Wireless Emergency Network Antenna Placement, Swapnil Gaikwad, David Anastasiu
Faculty Publications
Communication is paramount, especially during a natural disaster or other emergency. Even when traditional lines of communication become unavailable, emergency response teams must be able to communicate with each other and the outside world. To facilitate this need, major cities across the United States are deploying wireless emergency networks (WENs) that serve as a secure communication channel between emergency response points (police stations, shelters, food banks, hospitals, etc.) and the outside world. An important question when designing such networks is identifying the locations within the city where access points (APs) should be placed to construct a reliable WEN. We propose …
Insights On Osmotic Tolerance Mechanisms In Escherichia Coli Gained From An Rpoc Mutation, Yuqi Guo, James Winkler, Katy Kao
Insights On Osmotic Tolerance Mechanisms In Escherichia Coli Gained From An Rpoc Mutation, Yuqi Guo, James Winkler, Katy Kao
Faculty Publications
An 84 bp in-frame duplication (K370_A396dup) within the rpoC subunit of RNA polymerase was found in two independent mutants selected during an adaptive laboratory evolution experiment under osmotic stress in Escherichia coli, suggesting that this mutation confers improved osmotic tolerance. To determine the role this mutation in rpoC plays in osmotic tolerance, we reconstructed the mutation in BW25113, and found it to confer improved tolerance to hyperosmotic stress. Metabolite analysis, exogenous supplementation assays, and cell membrane damage analysis suggest that the mechanism of improved osmotic tolerance by this rpoC mutation may be related to the higher production of acetic acid …
Flipping Stem Classrooms Collaboratively Across Campuses In California, Laura Sullivan-Green, Ravisha Mathur, Andrew Feinstein
Flipping Stem Classrooms Collaboratively Across Campuses In California, Laura Sullivan-Green, Ravisha Mathur, Andrew Feinstein
Office of the Provost Scholarship
San José State University, in partnership with California State University-Los Angeles and Cal Poly Pomona, was awarded a prestigious 2015 First in the World grant, sponsored by the Department of Education. The multi-campus effort is focused on bringing the flipped classroom model to seven STEM gateway courses over three years that have high failure rates through collaborative efforts from faculty on the three partner campuses. SJSU, CSULA, and CPP are all designated Hispanic-Serving Institutions and Minority-Serving Institutions, though their demographics are very different. High impact practices like the flipped classroom approach have been shown to increase URM student success and …
Preliminary Findings Using Growth Mindset And Belonging Interventions In A Freshman Engineering Class, Jinny Rhee, Camille Johnson, Clifton Oyamot
Preliminary Findings Using Growth Mindset And Belonging Interventions In A Freshman Engineering Class, Jinny Rhee, Camille Johnson, Clifton Oyamot
Faculty Publications, Mechanical Engineering
Engineering is typically plagued with lower graduation rates and larger achievement gaps compared to other majors; the projected demand for its future graduates lends to the urgency in reversing these trends. Holding a growth mindset, or a belief that intelligence is mutable, and a feeling of belongingness are keys to persisting in and graduating from college. In prior research, improvements in retention and graduation rates have been found following minor interventions, particularly among some underrepresented populations of students. The current study explored whether similar interventions could be effective in increasing retention and graduation rates among underrepresented populations of engineering and …
Symmetry Driven Control Of Optical Properties In Wo3 Films, Andreas Herklotz, Stefania Rus, Santosh Kc, Valentino Cooper, Amanda Huon, Er-Jia Guo, Thomas Ward
Symmetry Driven Control Of Optical Properties In Wo3 Films, Andreas Herklotz, Stefania Rus, Santosh Kc, Valentino Cooper, Amanda Huon, Er-Jia Guo, Thomas Ward
Faculty Publications
In this work, we demonstrate that the optical bandgap of WO3 films can be continuouslycontrolled through uniaxial strain induced by low-energy helium implantation.The insertion of He into epitaxially grown and coherently strained WO3 films canbe used to induce single axis out-of-plane lattice expansion of up to 2%. Ellipsometricspectroscopy reveals that the optical bandgap is reduced by about 0.18 eVper percent expansion of the out-of-plane unit cell length. Density functional theorycalculations show that this response is a direct result of changes in orbital degeneracydriven by changes in the octahedral rotations and tilts.
Magnetic Behavior And Spin-Lattice Coupling In Cleavable, Van Der Waals Layered Crcl3 Crystals, Michael Mcguire, Genevieve Clark, Santosh Kc, W. Chance, Gerald Jellison, Valentino Cooper, Xiaodong Xu, Brian Sales
Magnetic Behavior And Spin-Lattice Coupling In Cleavable, Van Der Waals Layered Crcl3 Crystals, Michael Mcguire, Genevieve Clark, Santosh Kc, W. Chance, Gerald Jellison, Valentino Cooper, Xiaodong Xu, Brian Sales
Faculty Publications
CrCl3 is a layered insulator that undergoes a crystallographic phase transition below room temperature and orders antiferromagnetically at low temperature. Weak van der Waals bonding between the layers and ferromagnetic in-plane magnetic order make it a promising material for obtaining atomically thin magnets and creating van der Waals heterostructures. In this work we have grown crystals of CrCl3, revisited the structural and thermodynamic properties of the bulk material, and explored mechanical exfoliation of the crystals. We find two distinct anomalies in the heat capacity at 14 and 17 K confirming that the magnetic order develops in two stages on cooling, …
Computational Study Of Mos2/Hfo2 Defective Interfaces For Nanometer-Scale Electronics, Santosh Kc, Roberto Longo, Robert Wallace, Kyeongjae Cho
Computational Study Of Mos2/Hfo2 Defective Interfaces For Nanometer-Scale Electronics, Santosh Kc, Roberto Longo, Robert Wallace, Kyeongjae Cho
Faculty Publications
Atomic structures and electronic properties of MoS2/HfO2 defective interfaces are investigated extensively for future field-effect transistor device applications. To mimic the atomic layer deposition growth under ambient conditions, the impact of interfacial oxygen concentration on the MoS2/HfO2 interface electronic structure is examined. Then, the effect on band offsets (BOs) and the thermodynamic stability of those interfaces is investigated and compared with available relevant experimental data. Our results show that the BOs can be modified up to 2 eV by tuning the oxygen content through, for example, the relative partial pressure. Interfaces with hydrogen impurities as well as various structural disorders …
Effect Of Cohorts On Student Retention In Engineering, Patricia Backer, Cindy Kato
Effect Of Cohorts On Student Retention In Engineering, Patricia Backer, Cindy Kato
Faculty Publications
Project Succeed is a campus-wide initiative funded by the U.S. Department of Education. Its focus is to improve the 5-year graduation and retention rates and close the achievement gap for Under-Represented Minorities (URMs) across all majors at San José State University (SJSU). There are three major goals: strengthen SJSU’s core academic performance in retention and graduation; provide an improved supportive environment for URM students; and enhance the delivery and integration of academic and co-curricular support services. For Fall 2015, newly matriculated students in the College of Business, College of Engineering, and Child and Adolescent Development Department (CHAD) were assigned schedules …
Improving Student Engagement In Engineering Using Brain-Based Learning Principles As Instructional Delivery Protocols, John Solomon, Vimal Viswanathan, Eric Hamilton, Chitra Nayak
Improving Student Engagement In Engineering Using Brain-Based Learning Principles As Instructional Delivery Protocols, John Solomon, Vimal Viswanathan, Eric Hamilton, Chitra Nayak
Faculty Publications, Mechanical Engineering
This paper presents a study on the academic engagement issues of the upper level engineering students in an HBCU (name of the university will be added later) and strategies implemented to overcome these issues using brain based learning principles as instructional delivery protocols. Although student engagement issues inside engineering classrooms have several components, we focus our attention in this paper mainly on two issues: the dis-engagement arising due to the lack of understanding of pre-requisites and insufficient mathematical skills of students reaching junior and senior engineering classes. A previous pilot study confirmed that a large fraction of students who reach …
Antiferromagnetism In The Van Der Waals Layered Spin-Lozenge Semiconductor Crte3, Michael Mcguire, V. Ovidiu Garlea, Santosh Kc, Valentino Cooper, Jiaqiang Yan, Huibo Cao, Brian Sales
Antiferromagnetism In The Van Der Waals Layered Spin-Lozenge Semiconductor Crte3, Michael Mcguire, V. Ovidiu Garlea, Santosh Kc, Valentino Cooper, Jiaqiang Yan, Huibo Cao, Brian Sales
Faculty Publications
The crystallographic, magnetic, and transport properties of the van der Waals bonded, layered compound CrTe3 have been investigated on single-crystal and polycrystalline materials. The crystal structure contains layers made up of lozenge-shaped Cr4 tetramers. Electrical resistivity measurements show the crystals to be semiconducting, with a temperature dependence consistent with a band gap of 0.3 eV. The magnetic susceptibility exhibits a broad maximum near 300 K characteristic of low dimensional magnetic systems. Weak anomalies are observed in the susceptibility and heat capacity near 55 K, and single-crystal neutron diffraction reveals the onset of long-range antiferromagnetic order at this temperature. Strongly dispersive …
Biotemplating Pores With Size And Shape Diversity For Li-Oxygen Battery Cathodes, Dahyun Oh, Cagla Ozgit-Akgun, Esin Akca, Leslie Thompson, Loza Tadesse, Ho-Cheol Kim, Gökhan Demirci, Robert Miller
Biotemplating Pores With Size And Shape Diversity For Li-Oxygen Battery Cathodes, Dahyun Oh, Cagla Ozgit-Akgun, Esin Akca, Leslie Thompson, Loza Tadesse, Ho-Cheol Kim, Gökhan Demirci, Robert Miller
Faculty Publications
Synthetic porogens provide an easy way to create porous structures, but their usage is limited due to synthetic difficulties, process complexities and prohibitive costs. Here we investigate the use of bacteria, sustainable and naturally abundant materials, as a pore template. The bacteria require no chemical synthesis, come in variable sizes and shapes, degrade easier and are approximately a million times cheaper than conventional porogens. We fabricate free standing porous multiwalled carbon nanotube (MWCNT) films using cultured, harmless bacteria as porogens, and demonstrate substantial Li-oxygen battery performance improvement by porosity control. Pore volume as well as shape in the cathodes were …
Multi-Valued Sequences Generated By Power Residue Symbols Over Odd Characteristic Fields, Begum Nasima, Yasuyuki Nogami, Satoshi Uehara, Robert Morelos-Zaragoza
Multi-Valued Sequences Generated By Power Residue Symbols Over Odd Characteristic Fields, Begum Nasima, Yasuyuki Nogami, Satoshi Uehara, Robert Morelos-Zaragoza
Faculty Publications
This paper proposes a new approach for generating pseudo random multi-valued (including binary-valued) sequences. The approach uses a primitive polynomial over an odd characteristic prime field $\f{p}$, where p is an odd prime number. Then, for the maximum length sequence of vectors generated by the primitive polynomial, the trace function is used for mapping these vectors to scalars as elements in the prime field. Power residue symbol (Legendre symbol in binary case) is applied to translate the scalars to k-value scalars, where k is a prime factor of p-1. Finally, a pseudo random k-value sequence is obtained. Some important properties …
Efficient Neighborhood Graph Construction For Sparse High Dimensional Data, David Anastasiu
Efficient Neighborhood Graph Construction For Sparse High Dimensional Data, David Anastasiu
Faculty Publications
No abstract provided.
Robust And Agile System Against Fault And Anomaly Traffic In Software Defined Networks, Mihui Kim, Younghee Park, Rohit Kotalwar
Robust And Agile System Against Fault And Anomaly Traffic In Software Defined Networks, Mihui Kim, Younghee Park, Rohit Kotalwar
Faculty Publications
The main advantage of software defined networking (SDN) is that it allows intelligent control and management of networking though programmability in real time. It enables efficient utilization of network resources through traffic engineering, and offers potential attack defense methods when abnormalities arise. However, previous studies have only identified individual solutions for respective problems, instead of finding a more global solution in real time that is capable of addressing multiple situations in network status. To cover diverse network conditions, this paper presents a comprehensive reactive system for simultaneously monitoring failures, anomalies, and attacks for high availability and reliability. We design three …
Impact Of Reviewer Social Interaction On Online Consumer Review Fraud Detection, Kunal Goswami, Younghee Park, Chungsik Song
Impact Of Reviewer Social Interaction On Online Consumer Review Fraud Detection, Kunal Goswami, Younghee Park, Chungsik Song
Faculty Publications
Background Online consumer reviews have become a baseline for new consumers to try out a business or a new product. The reviews provide a quick look into the application and experience of the business/product and market it to new customers. However, some businesses or reviewers use these reviews to spread fake information about the business/product. The fake information can be used to promote a relatively average product/business or can be used to malign their competition. This activity is known as reviewer fraud or opinion spam. The paper proposes a feature set, capturing the user social interaction behavior to identify fraud. …
Design Prototyping Methods: State Of The Art In Strategies, Techniques, And Guidelines, Bradley Camburn, Vimal Viswanathan, Julie Linsey, David Anderson, Daniel Jensen, Richard Crawford, Kevin Otto, Kristin Wood
Design Prototyping Methods: State Of The Art In Strategies, Techniques, And Guidelines, Bradley Camburn, Vimal Viswanathan, Julie Linsey, David Anderson, Daniel Jensen, Richard Crawford, Kevin Otto, Kristin Wood
Faculty Publications, Mechanical Engineering
Prototyping is interwoven with nearly all product, service, and systems development efforts. A prototype is a pre-production representation of some aspect of a concept or final design. Prototyping often predetermines a large portion of resource deployment in development and influences design project success. This review surveys literature sources in engineering, management, design science, and architecture. The study is focused around design prototyping for early stage design. Insights are synthesized from critical review of the literature: key objectives of prototyping, critical review of major techniques, relationships between techniques, and a strategy matrix to connect objectives to techniques. The review is supported …
Mechanical Characterization Of Parts Produced By Ceramic On‐Demand Extrusion Process, Amir Ghazanfari, Wenbin Li, Ming Leu, Gregory Hilmas
Mechanical Characterization Of Parts Produced By Ceramic On‐Demand Extrusion Process, Amir Ghazanfari, Wenbin Li, Ming Leu, Gregory Hilmas
Faculty Publications, Mechanical Engineering
Ceramic On‐Demand Extrusion (CODE) is an additive manufacturing process recently developed to produce dense three‐dimensional ceramic components. In this paper, the properties of parts produced using this freeform extrusion fabrication process are described. High solids loading (~60 vol%) alumina paste was prepared to fabricate parts and standard test methods were employed to examine their properties including the density, strength, Young's modulus, Weibull modulus, toughness, and hardness. Microstructural evaluation was also performed to measure the grain size and critical flaw size. The results indicate that the properties of parts surpass most other ceramic additive manufacturing processes and match conventional fabrication techniques.