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Articles 1 - 23 of 23
Full-Text Articles in Engineering
Analyzing Large Workers’ Compensation Claims Using Generalized Linear Models And Monte Carlo Simulation, Fatemeh Davoudi Kakhki, Steven Freeman, Gretchen Mosher
Analyzing Large Workers’ Compensation Claims Using Generalized Linear Models And Monte Carlo Simulation, Fatemeh Davoudi Kakhki, Steven Freeman, Gretchen Mosher
Faculty Publications
Insurance practitioners rely on statistical models to predict future claims in order to provide financial protection. Proper predictive statistical modeling is more challenging when analyzing claims with lower frequency, but high costs. The paper investigated the use of predictive generalized linear models (GLMs) to address this challenge. Workers’ compensation claims with costs equal to or more than US$100,000 were analyzed in agribusiness industries in the Midwest of the USA from 2008 to 2016. Predictive GLMs were built with gamma, Weibull, and lognormal distributions using the lasso penalization method. Monte Carlo simulation models were developed to check the performance of predictive …
Reactive Ion Plasma Modification Of Poly(Vinyl‐Alcohol) Increases Primary Endothelial Cell Affinity And Reduces Thrombogenicity, Patrick Jurney, Deirdre Anderson, Grace Pohan, Evelyn Yim, Monica Hinds
Reactive Ion Plasma Modification Of Poly(Vinyl‐Alcohol) Increases Primary Endothelial Cell Affinity And Reduces Thrombogenicity, Patrick Jurney, Deirdre Anderson, Grace Pohan, Evelyn Yim, Monica Hinds
Faculty Publications
Bulk material properties and luminal surface interaction with blood determine the clinical viability of vascular grafts, and reducing intimal hyperplasia is necessary to improve their long‐term patency. Here, the authors report that the surface of a biocompatible hydrogel material, poly(vinyl alcohol) (PVA) can be altered by exposing it to reactive ion plasma (RIP) in order to increase primary endothelial cell attachment. The power and the carrier gas of the RIP treatment are varied and the resultant surface nitrogen, water contact angle, as well as the ability of the RIP‐treated surfaces to support primary endothelial colony forming cells is characterized. Additionally, …
Development Of A Placement Exam To Increase Student Success In A Junior Level Circuits And Systems Class, David Parent
Development Of A Placement Exam To Increase Student Success In A Junior Level Circuits And Systems Class, David Parent
Faculty Publications
In this work, which is intended to be a Full Paper in the Innovative Practice Category, the implementation of an improved placement exam that increased the pass rate in a junior level systems course in the author’s electrical engineering department by 15% is presented. For almost 30 years the author’s EE department has used a face to face exam to place students in a junior level circuits and systems course or into a review workshop. The details of the exam and suggestions about future use in conjunction MyOpenMath analytics to increase student success are also given.
Examination The Impact Of Various Factors On Student Success In An Introduction To Circuit Analysis Course, David Parent
Examination The Impact Of Various Factors On Student Success In An Introduction To Circuit Analysis Course, David Parent
Faculty Publications
In this work in progress, several models to predict student success in a sophomore introduction to circuit analysis class were created based on prior grade point average, grade in a pre-requisite physics class, the semester the pre-requisite physics class was taken, the number of units a student was taking, the number of times a student repeated the circuits class, and the number of times a student repeated any class prior to enrollment. While all models were statistically significant, the model that included prior GPA and the grade in a pre-requisite physics was the most significant for the data collection effort. …
Integration Of An Electrical Engineering Capstone Course With Social Justice And Global Studies, David Parent, Patricia Backer
Integration Of An Electrical Engineering Capstone Course With Social Justice And Global Studies, David Parent, Patricia Backer
Faculty Publications
A four course package (six units total) consisting of two general education (GE) classes and two electrical engineering capstone classes that are taught in a highly integrated manner, that not only meets university GE requirements, but also meets the new ABET criteria in which the need to address a societal need is embedded with design criteria. The prompts for the new integrated GE/capstone Assessment results are also presented, along with methods to increase student motivation for studying GE.
Towards A Smart World: Hazard Levels For Monitoring Of Autonomous Vehicles’ Swarms, Francesca M. Favaro, Shivangi Agarwal, Nazanin Nader, Sumaid Mahmood
Towards A Smart World: Hazard Levels For Monitoring Of Autonomous Vehicles’ Swarms, Francesca M. Favaro, Shivangi Agarwal, Nazanin Nader, Sumaid Mahmood
Mineta Transportation Institute
This work explores the creation of quantifiable indices to monitor the safe operations and movement of families of autonomous vehicles (AV) in restricted highway-like environments. Specifically, this work will explore the creation of ad-hoc rules for monitoring lateral and longitudinal movement of multiple AVs based on behavior that mimics swarm and flock movement (or particle swarm motion). This exploratory work is sponsored by the Emerging Leader Seed grant program of the Mineta Transportation Institute and aims at investigating feasibility of adaptation of particle swarm motion to control families of autonomous vehicles. Specifically, it explores how particle swarm approaches can be …
A Building Permit System For Smart Cities: A Cloud-Based Framework, Magdalini Eirinaki, Subhankar Dhar, Shishir Mathur, Adwait Kaley, Arpit Patel, Akshar Joshi, Dhvani Shah
A Building Permit System For Smart Cities: A Cloud-Based Framework, Magdalini Eirinaki, Subhankar Dhar, Shishir Mathur, Adwait Kaley, Arpit Patel, Akshar Joshi, Dhvani Shah
Faculty Publications
In this paper we propose a novel, cloud-based framework to support citizens and city officials in the building permit process. The proposed framework is efficient, user-friendly, and transparent with a quick turn-around time for homeowners. Compared to existing permit systems, the proposed smart city permit framework provides a pre-permitting decision workflow, and incorporates a data analytics and mining module that enables the continuous improvement of both the end user experience and the permitting and urban planning processes. This is enabled through a data mining-powered permit recommendation engine as well as a data analytics process that allow a gleaning of key …
A Neuromorphic Quadratic, Integrate, And Fire Silicon Neuron With Adaptive Gain, David Parent, Eric Basham
A Neuromorphic Quadratic, Integrate, And Fire Silicon Neuron With Adaptive Gain, David Parent, Eric Basham
Faculty Publications
An integrated circuit implementation of a silicon neuron was designed, manufactured, and tested. The circuit was designed using the Quadratic, Integrate, and Fire (QIF) neuron model in 0.5 µm silicon technology. The neuron implementation was optimized for low current consumption, drawing only 1.56 mA per QIF circuit and utilized hysteretic reset, non-inverting integrator, and voltage-squarer circuits. The final area of each circuit in silicon was 268 µm height × 400 µm width. This design is the first IC of its kind for this neuron model and is successfully able to output true spiking that follows the behaviors of bistability, monotonic, …
Developing An Evaluation Tool To Examine Motivational Factors Of Non-Student Community Partnership Participants, Julia Thompson, Jinny Rhee
Developing An Evaluation Tool To Examine Motivational Factors Of Non-Student Community Partnership Participants, Julia Thompson, Jinny Rhee
Faculty Publications, Mechanical Engineering
Research of engineering community engagement has primarily focused on the experiences and outcomes of students, yet it is often the faculty, administrators, and community partners who have a long-term commitment to the program’s success. In this study, we are developing and validating an assessment instrument that combines two previously identified aspects of community engagement programs: participant motivation and the nature of engagement relationships. Participant motivation refers to the reasons people stay engaged in the community engagement experience and can be categorized into: student learning and growth, personal and professional development, and benefits to the community organization. The nature of an …
Enabling Autonomous Navigation For Affordable Scooters, Kaikai Liu, Rajathswaroop Mulky
Enabling Autonomous Navigation For Affordable Scooters, Kaikai Liu, Rajathswaroop Mulky
Faculty Publications
Despite the technical success of existing assistive technologies, for example, electric wheelchairs and scooters, they are still far from effective enough in helping those in need navigate to their destinations in a hassle-free manner. In this paper, we propose to improve the safety and autonomy of navigation by designing a cutting-edge autonomous scooter, thus allowing people with mobility challenges to ambulate independently and safely in possibly unfamiliar surroundings. We focus on indoor navigation scenarios for the autonomous scooter where the current location, maps, and nearby obstacles are unknown. To achieve semi-LiDAR functionality, we leverage the gyros-based pose data to compensate …
Vehicle Tracking And Speed Estimation From Traffic Videos, Shuai Hua, Manika Kapoor, David Anastasiu
Vehicle Tracking And Speed Estimation From Traffic Videos, Shuai Hua, Manika Kapoor, David Anastasiu
Faculty Publications
The rapid recent advancements in the computation ability of everyday computers have made it possible to widely apply deep learning methods to the analysis of traffic surveillance videos. Traffic flow prediction, anomaly detection, vehicle re-identification, and vehicle tracking are basic components in traffic analysis. Among these applications, traffic flow prediction, or vehicle speed estimation, is one of the most important research topics of recent years. Good solutions to this problem could prevent traffic collisions and help improve road planning by better estimating transit demand. In the 2018 NVIDIA AI City Challenge, we combine modern deep learning models with classic computer …
A Study On The Student Success In A Blended-Model Engineering Classroom, Vimal Viswanathan, John Solomon
A Study On The Student Success In A Blended-Model Engineering Classroom, Vimal Viswanathan, John Solomon
Faculty Publications, Mechanical Engineering
One of the primary concern that many engineering educators face is the lack of engagement of students in their classroom. While literature suggests a variety of factors that might negatively influence student engagement, the theory of “Tailored Instructions and Engineered Delivery Using Protocols” (TIED UP) specifically addresses the lack of engagement arising from a weak pre-requisite base. TIED UP is a blended teaching model where the content delivery follows a set of protocols inspired by the brain-based learning approach. In a typical TIED UP classroom, content delivery is performed using short, animated and scripted concept videos that are generated before …
Application Of Brain-Based Learning Principles To Engineering Mechanics Education: Implementation And Preliminary Analysis Of Connections Between Employed Strategies And Improved Student Engagement, Firas Akasheh, John Solomon, Eric Hamilton, Chitra Nayak, Vimal Viswanathan
Application Of Brain-Based Learning Principles To Engineering Mechanics Education: Implementation And Preliminary Analysis Of Connections Between Employed Strategies And Improved Student Engagement, Firas Akasheh, John Solomon, Eric Hamilton, Chitra Nayak, Vimal Viswanathan
Faculty Publications, Mechanical Engineering
In a pilot study supported by NSF, an instructional model that uses brain based learning principles as instructional protocols has been developed and successfully implemented in the course Introduction to Fluid Mechanics at a HBCU. Motivated by that success, we extended a similar intervention to another course, Dynamics, in the same school. In this paper, we report preliminary data from this intervention. The main strategies implemented in this intervention include: organization of the course into specific concepts and sub-concepts, which are concisely presented by short (limited to 2-6 minutes) content-rich lectures (diagrams, animations, narrations), active learning through in-class worksheets, and …
The 2018 Nvidia Ai City Challenge, Milind Naphade, Ming-Ching Chang, Anuj Sharma, David Anastasiu, Vamsi Jagarlamudi, Pranamesh Chakraborty, Tingting Huang, Shuo Wang, Ming-Yu Liu, Rama Chellappa, Jenq-Neng Hwang, Siwei Lyu
The 2018 Nvidia Ai City Challenge, Milind Naphade, Ming-Ching Chang, Anuj Sharma, David Anastasiu, Vamsi Jagarlamudi, Pranamesh Chakraborty, Tingting Huang, Shuo Wang, Ming-Yu Liu, Rama Chellappa, Jenq-Neng Hwang, Siwei Lyu
Faculty Publications
The NVIDIA AI City Challenge has been created to accelerate intelligent video analysis that helps make cities smarter and safer. With millions of traffic video cameras acting as sensors around the world, there is a significant opportunity for real-time and batch analysis of these videos to provide actionable insights. These insights will benefit a wide variety of agencies, from traffic control to public safety. The second edition of the NVIDIA AI City Challenge, being organized as a CVPR workshop, provided a forum to more than 70 academic and industrial research teams to compete and solve real-world problems using traffic camera …
A Protocol-Based Blended Model For Fluid Mechanics Instruction, John Solomon, Eric Hamilton, Vimal Viswanathan, Chitra Nayak, Firas Akasheh
A Protocol-Based Blended Model For Fluid Mechanics Instruction, John Solomon, Eric Hamilton, Vimal Viswanathan, Chitra Nayak, Firas Akasheh
Faculty Publications, Mechanical Engineering
A personalized and media-rich learning framework called “Knowledge and Curriculum Integration Ecosystem” (KACIE) has been developed and implemented in a junior level fluid mechanics course in Fall 2016 and Spring 2017. This model shares characteristics of blended instruction as well as a flipped classroom, with an overall structure that includes the application of established principles emerging from the learning sciences and from cognitive neuroscience. These principles have taken form in the KACIE model as classroom protocols or written instructions to scaffold and guide teaching and learning by faculty and students respectively. In KACIE, the course has been presented as a …
Impact Of First-Year Initiatives On Retention Of Students: Are There Differences In Retention Of Students By Ethnicity And Gender?, Patricia Backer, Joseph Green, Bryan Matlen, Cindy Kato
Impact Of First-Year Initiatives On Retention Of Students: Are There Differences In Retention Of Students By Ethnicity And Gender?, Patricia Backer, Joseph Green, Bryan Matlen, 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). In addition, SJSU has a high percent of first generation students. We have several thrusts under this project: block scheduling, Faculty/Staff Mentor program, expanding Peer Educators, developing a First Year Experience Program, and developing more student living learning communities. This project is in its fourth year and we have analyzed each project effort with respect to its impact …
Social Recommendations For Personalized Fitness Assistance, Saumil Dharia, Magdalini Eirinaki, Vijesh Jain, Jvalant Patel, Iraklis Varlamis, Jainikkumar Vora, Rizen Yamauchi
Social Recommendations For Personalized Fitness Assistance, Saumil Dharia, Magdalini Eirinaki, Vijesh Jain, Jvalant Patel, Iraklis Varlamis, Jainikkumar Vora, Rizen Yamauchi
Faculty Publications
Wearable technology allows users to monitor their activity and pursue a healthy lifestyle through the use of embedded sensors. Such wearables usually connect to a mobile application that allows them to set their profile and keep track of their goals. However, due to the relatively “high maintenance” of such applications, where a significant amount of user feedback is expected, users who are very busy, or not as self-motivated, stop using them after a while. It has been shown that accountability improves commitment to an exercise routine. In this work, we present the PRO-Fit framework, a personalized fitness assistant aiming at …
A Survey On Network Security-Related Data Collection Technologies, Huaqing Lin, Zheng Yan, Yu Chen, Lifang Zhang
A Survey On Network Security-Related Data Collection Technologies, Huaqing Lin, Zheng Yan, Yu Chen, Lifang Zhang
Faculty Publications, Information Systems & Technology
Security threats and economic loss caused by network attacks, intrusions, and vulnerabilities have motivated intensive studies on network security. Normally, data collected in a network system can reflect or can be used to detect security threats. We define these data as network security-related data. Studying and analyzing security-related data can help detect network attacks and intrusions, thus making it possible to further measure the security level of the whole network system. Obviously, the first step in detecting network attacks and intrusions is to collect security-related data. However, in the context of big data and 5G, there exist a number of …
Patient Friendly Kidney Function Screening, Ragwa El Sayed, Rathna Ramesh, Alessandro Bellofiore, David Anastasiu, Melinda Simon
Patient Friendly Kidney Function Screening, Ragwa El Sayed, Rathna Ramesh, Alessandro Bellofiore, David Anastasiu, Melinda Simon
Faculty Publications
No abstract provided.
Teaching With Jupyter In-Class Activities: Lessons Learned And Next Steps, David Anastasiu
Teaching With Jupyter In-Class Activities: Lessons Learned And Next Steps, David Anastasiu
Faculty Publications
No abstract provided.
A Data-Driven Approach For Detecting Autism Spectrum Disorders, Manika Kapoor, David Anastasiu
A Data-Driven Approach For Detecting Autism Spectrum Disorders, Manika Kapoor, David Anastasiu
Faculty Publications
No abstract provided.
Recommender Systems For Large-Scale Social Networks: A Review Of Challenges And Solutions, Magdalini Eirinaki, Jerry Gao, Iraklis Varlamis, Konstantinos Tserpes
Recommender Systems For Large-Scale Social Networks: A Review Of Challenges And Solutions, Magdalini Eirinaki, Jerry Gao, Iraklis Varlamis, Konstantinos Tserpes
Faculty Publications
Social networks have become very important for networking, communications, and content sharing. Social networking applications generate a huge amount of data on a daily basis and social networks constitute a growing field of research, because of the heterogeneity of data and structures formed in them, and their size and dynamics. When this wealth of data is leveraged by recommender systems, the resulting coupling can help address interesting problems related to social engagement, member recruitment, and friend recommendations.In this work we review the various facets of large-scale social recommender systems, summarizing the challenges and interesting problems and discussing some of the …
Adaptive Differential Thrust Methodology For Lateral/Directional Stability Of An Aircraft With A Completely Damaged Vertical Stabilizer, Long K. Lu, Kamran Turkoglu
Adaptive Differential Thrust Methodology For Lateral/Directional Stability Of An Aircraft With A Completely Damaged Vertical Stabilizer, Long K. Lu, Kamran Turkoglu
Faculty Publications
This paper investigates the utilization of differential thrust to help a commercial aircraft with a damaged vertical stabilizer in order to regain its lateral/directional stability. In the event of an aircraft losing its vertical stabilizer, the consequential loss of the lateral/directional stability and control is likely to cause a fatal crash. In this paper, an aircraft with a completely damaged vertical stabilizer is investigated, and a unique differential thrust-based adaptive control approach is proposed to achieve a stable flight envelope. The propulsion dynamics of the aircraft is modeled as a system of differential equations with engine time constant and time …