10th IEEE Integrated STEM Education Conference
Live: Introduction
Greetings from the General Chairs
Ashutosh Dutta – Johns Hopkins University, Nagi Naganathan – Northrop Grumman
Session Chair
To Be Determined
Memories of Last Year
Memories from Last Year
Ashutosh Dutta – Johns Hopkins University, Nagi Naganathan – Northrop Grumman
Session Chair
To Be Determined
Message from Past Keynote Speakers
ISEC 2019 Keynote: Hydrogen and Fuel Cells Overview
Sunita Satyapal, PhD, Director Fuel Cell Technologies Office, U.S. Department of Energy’s
ISEC 2018 Keynote: What Hurdles Should We Overcome To Provide 100% of Our Electricity From Renewable Sources?
Elie Bou-Zeid, PhD, Associate Professor of Civil and Environmental Engineering, Princeton University
ISEC 2017 Keynote: The Curiosity Effect
Kimberly Ennico Smith, Ph.D., Research Astrophysicist, NASA Ames Research Center
ISEC 2016 Keynote: Learning How to Learn
Barbara Oakley, Ph.D., P.E., Professor of Engineering, Oakland University
ISEC 2015 Keynote: Everyone Can Engineer: Why All Kids Should Study Engineering - Even Before They Can Spell It
Christine M. Cunningham, Ph.D., Director of Engineering is Elementary & VP, Museum of Science, Boston
ISEC 2015 Keynote: Focus on Informal STEM Education for K-12
Saurabh Sinha, Ph.D., Executive Dean of the Faculty of Engineering and the Built Environment, University of Johannesburg
ISEC 2014 Keynote: Inspiring Innovation
Karen Panetta, Ph.D., Associate Dean of Graduate Education, Tufts University and IEEE WIE International Director
ISEC 2014 Keynote: Why STEM education is vital for the Future of America
Alicia Abella, PhD, AVP Cloud Services Research Organization, AT&T
ISEC 2014 Keynote: The complex problem of engaging more girls in STEM fields
Ms. Nita Patel, IEEE Women in Engineering International Chair
ISEC 2013 Keynote: Engineering Education Research: The Growth of a Discipline
Leah H. Jamieson, PhD (Dean of Engineering) & John A. Edwardson, PhD (Ransburg Professor of Electrical and Computer Engineering), Purdue University
ISEC 2013 Keynote: Recruiting and Retaining Minority Graduate Students in Engineering
Athina P. Petropulu, PhD, Professor and Chair, Department of Electrical and Computer Engineering, Rutgers The State University of New Jersey
ISEC 2013 Keynote: Overview of the Engineering Projects in Community Service (EPICS) in IEEE Programs
Kapil R. Dandekar, PhD, Associate Dean for Research and Associate Professor of Electrical and Computer Engineering, Drexel University
ISEC 2012 Keynote: The Engineering Crisis: Five Things We Should and Can All Be Doing to Inspire STEM
Suzanne Deffree, UBM Electronics
ISEC 2012 Keynote: The Importance of Mentoring in STEM
Naomi Eigner Price, UBM Electronics
ISEC 2012 Keynote
Prof. H. Vincent Poor, Michael Henry Strater University Professor of Electrical Engineering and Dean of School of Engineering and Applied Science, Princeton University
ISEC 2011 Keynote
Congressman Rush Holt
Session Chair
To Be Determined
Live: Keynote Speaker 1 – David S. Touretzky
What Every Child (And Teacher) Should Know About Artificial Intelligence
David S. Touretzky (Carnegie Mellon University)
Session Chair
To Be Determined
Live: Keynote Speaker 2 – Naveen Verma
Bringing Artificial Intelligence into the Real World
Naveen Verma, Director of Keller Center for Innovation in Engineering Education, Professor of Electrical Engineering (Princeton University)
Biography
Naveen Verma received the B.A.Sc. degree in Electrical and Computer Engineering from the UBC, Vancouver, Canada in 2003, and the M.S. and Ph.D. degrees in Electrical Engineering from MIT in 2005 and 2009 respectively. Since July 2009 he has been at Princeton University, where he is current Director of the Keller Center for Education in Innovation and Entrepreneurship and Professor of Electrical Engineering. His research focuses on advanced sensing systems, exploring how systems for learning, inference, and action planning can be enhanced by algorithms that exploit new sensing and computing technologies. This includes research on large-area, flexible sensors, energy-efficient statistical-computing architectures and circuits, and machine-learning and statistical-signal-processing algorithms. Prof. Verma has served as a Distinguished Lecturer of the IEEE Solid-State Circuits Society, and on the technical program committees for ISSCC, VLSI Symp., DATE, and IEEE Signal-Processing Society (DISPS). Prof. Verma is recipient or co-recipient of the 2006 DAC/ISSCC Student Design Contest Award, 2008 ISSCC Jack Kilby Paper Award, 2012 Alfred Rheinstein Junior Faculty Award, 2013 NSF CAREER Award, 2013 Intel Early Career Award, 2013 Walter C. Johnson Prize for Teaching Excellence, 2013 VLSI Symp. Best Student Paper Award, 2014 AFOSR Young Investigator Award, 2015 Princeton Engineering Council Excellence in Teaching Award, and 2015 IEEE Trans. CPMT Best Paper Award.
Session Chair
To Be Determined
Live: Keynote Speaker 3 – Burt Dicht
Leveraging the Power of IEEE’s Global Communities . . . To Impact as Many Students as Possible: The IEEE Volunteer Pre-University STEM Portal
Burt Dicht (Director of Student & Education Programs at IEEE)
As impressive as IEEE's efforts are each year, we do not know collectively what is being done across the institution. There is no central place for volunteers to share their effective programs with each other, no central resources that volunteers can draw from when developing local STEM programs, and no data collection system to assess impact.
The answer is the IEEE Volunteer Pre-University STEM Portal, now under development by Educational Activities with support from MGA, Technical Activities, and other stakeholders within IEEE. The portal is a centralized resource that that will provide operating units (i.e., student branches, chapters, sections, technical societies, etc.) and volunteers access to opportunities that will enable them to plan and execute pre-university STEM-based activities. The intent of the portal is to leverage the reach and strength of IEEE's global communities to impact as many students as possible.
This portal will feature a searchable library of STEM programs and activities and volunteers will have access to “how-to” resources in order to facilitate the execution of these pre-university STEM programs or create their own. Mr. Dicht's presentation will introduce you to the portal, its features and benefits for volunteers, and how it will move IEEE's pre-university STEM programs to the next level.
Biography
Burt Dicht joined IEEE in 2011 and serves as the Director of Student and Academic Education Programs. He oversees IEEE’s engineering education accreditation efforts and is responsible for the development and implementation of programs for pre-university and university educators and students. Prior to joining IEEE, he was the Managing Director of ASME’s Knowledge and Community Sector.
Burt began his career in the aerospace industry in 1982 and held the position as a lead engineer for Northrop Grumman and Rockwell Space Transportation Systems Division. Specializing in systems and configuration integration, he worked on programs such as the YF-23A Advanced Tactical Fighter, the F-18E/F Super Hornet, and the Space Shuttle. Burt is a member of AIAA, IEEE and is an ASME Fellow. He received his B.S. in Mechanical Engineering from Temple University and an M.A. in History from California State University, Northridge.
Mr. Dicht has authored numerous articles on aerospace history and is a frequent guest speaker on space topics. Mr. Dicht volunteers as an Exhibit Explainer for the Intrepid Museum in NYC, serves as a Capt. and Aerospace Education Officer for Civil Air Patrol and is Vice President for Membership for the National Space Society.
Session Chair
To Be Determined
Poster Session 1
Utilizing Different Types of Synthetic Fabrics as a Cement Reinforcement for Concrete Tile Roofing
Blessed Isaac C Conde and Daniel Jerlan S Coladilla (La Salle Green Hills, Philippines)
Efficiency of organic deodorizer in removing foul smell in shoes
Ben Angelo P. Sebastian (La Salle Green Hills, Philippines); Alejandro Jose C. Javier, N. a. (La Salle GreenHills, Philippines); Ryan Andre Mari Flores Chua and Byron Miguel De Guzman Traje (La Salle Green Hills, Philippines)
Previous studies have indicated that foot odor was derived from Isovaleric acid, which is produced when Staphylococcus epidermidis degrades leucine present in sweat (Ara, et al., 2006). When the bacteria in feet eat amino acids such as leucine, it produces a by-product called Isovaleric acid which causes the foul smell. Various studies have also been made regarding the use of lemon and activated charcoal to reduce foul smell (Otang & Afolavan 2016, Tada, et al., 2016). The researchers will focus on the effectiveness of freeze- dried Citrus limon, (Lisbon variety) in removing malodor.
A revised version of the Modified Kirby Bauer disc diffusion test method was done by the Industrial Technology Development Institute, Department of Science and Technology (ITDI-DOST), the prime government research agency in the Philippines. The researchers were able to verify the antibacterial properties of freeze-dried lemons. Results showed that the sample freeze -dried lemons (10mm), produced complete inhibitory activity with a Total Mean of Inhibition of 12.74mm, and with mild reactivity against the test organism Staphylococcus aureus, a common species of the normal microbiota of the skin. It may be concluded from the research that freeze-dried lemons seem to have a good potential to inhibit foul smell, and may be an effective ingredient for a shoe deodorizer.
Further studies on the antimicrobial properties of freeze-dried lemons and activated charcoal against S. aureus and other skin microorganisms should be made for a more comprehensive report. Factors such as lemon species, parts, form, may also contribute to its effectivity. These findings may support the creation of an effective and organic shoe deodorizer.
The Utilization of the Feynman Technique in Paired Team Teaching Towards Enhancing Grade 10 ANHS Students' Academic Achievement in Science
Ronnel Ian A. Ambion, Rainier Santi C. De Leon, Alfonso Pio Angelo R. Mendoza and Reinier M. Navarro (La Salle Green Hills, Philippines)
Edison High School iSTEM Club: A Model for Educational Excellence in STEM
Sunrit Panda, Aditi Deshmukh, Gunjan Adya and Ali Ahmed (Edison High School & iSTEM Club, USA)
Who knows more about germs? Adults or first graders?
Rehaam Siddiqui (Pillars Preparatory Academy, USA)
My poster includes some background information about germs and how to keep safe from getting sick. Since germs are too small to see, the bread experiment is a good way to easily see how quickly germs can grow. To figure out who knows more about germs, I made a list of questions asking where germs are likely to be.
First, I asked a group of adults where they thought germs are. I then asked my classmates (in first grade) what they thought. Then, by comparing the answers against real results that the moldy bread generates, I will answer the question of who knows more about germs: adults or first graders.
An Optimization of Computational Resources Allocation for Multi-MEC and Cloud Networks
Ally Y Du (The High School Affiliated to Renmin University of China, China)
This paper studies a real-life MEC application on mobile video surveillance and analytics. We started from a simple practical model where the edge node (EDGE) is an AI chip enabled device handling multiple number of video cameras, and transmitting/receiving video streams and signals to a 4G or 5G base station (BS), and then the BS is communicating with the cloud center via optical fiber. In this case, if we offload some functions of EDGE to the cloud center where the computing capability is much stronger, the number of streams, that is, the number of cameras handled, can be increased, and the overall latency could also be improved.
With this expectation, we investigate real mobile video surveillance systems used for public traffic and public security, and propose a mathematical system model based on the real mobile video surveillance systems to quantify the relations among the overall system processing delay, the MEC/Cloud offload ratio and the communication channel signal-noise ratio (SNR). We make calculations and obtain the following findings using MATLAB. 1) For any offload ratio, there is a point at which the latency reaches its floor, and thereafter, the effect of increasing SNR is negligible. 2) When SNR is small, the maximum latency decreases as the offload ratio increases, but it requires a much larger SNR to reach the floor point. 3) There is an inflection point which is the minimum overall latency for each given SNR. Overall, to ensure a given latency, offloading more computations up to the cloud center requires less SNR, and thus consumes less energy. These findings suggest that we can design and reach different maximum affordable number of video streams for edge node in a given situation to make the full use of resources. It is possible to improve the system performance in terms of energy saving and efficiency improving by balancing the workload between MEC and the cloud. For future work,
Developing an Efficient Remotely-Operated Vehicle to Address Current Marine Issues
Mia Ladolcetta, Suhani Balachandran and Nishtha Dandriyal (Rogue Robotics, USA); Nivedha Srinivasan (nonE, USA)
The missions for the 2019 competition tasked ROVs with inspecting dams, maintaining river water quality, and preserving historical artifacts. Using the competition prompt and video of the mission flythrough as references, the team brainstormed and researched together, then produced 3D computer models of several possible designs. For the frame itself, several materials were researched, and finally, HDPE was chosen because of its high strength, insolubility in water, and high buoyancy. Buoyancy, thruster configuration, and electronics organization were some key elements to consider while designing the setup of the ROV beyond the basic frame. Initial thruster configuration and buoyancy were determined by calculations and then modified with detailed field testing. In addition, different components had to be designed to accomplish the various tasks, such as end effectors to lift objects underwater and a storage bin to carry mission-specific props, which were all first modeled using CAD, printed, and then modified after tests.
Equipped with six thrusters, two cameras, and mission-specific devices such as hooks, a metal detection system, and a grout and trout storage box, the ROV was able to accomplish many of the MATE competition tasks. The team scored 105 out of 270 possible points to score, a 10 point increase from the previous year, and completed 10 tasks in the 15 minutes given during the product demonstration. The team was especially proud of the compact design of the ROV and the organization board incorporated into the electronics enclosure, which both helped them earn the maximum score for size and weight constraints. Upon reflection, the team determined some future improvements to be made for the next MATE competition season, like creating a more modular frame and interchangeable mission-specific parts.
As of January 2020, the Rogue Robotics ROV for the 2020 competition is still in the first stages of design. Although not all components have to be redesigned, as budgeting and thoughtful design to enable reusability have always been core parts of the challenge for the team, new mission-specific parts of the ROV are currently in the works.
From July 2019 onward, Rogue Robotics has changed into an all-girls team, designed to promote girls working in STEM fields. Advocacy has always been an integral part of the team's missions, and the team is proud to be able to reach out to young girls more effectively and encourage their participation in science. The team members are all girls of color and feel that underrepresentation in STEM fields is a major issue, and it is their passion to design innovative solutions to serve the marine world while inspiring the next generation of scientists.
Relationship between Musical Scale, Cello String Length, and Math
Neo Cheng (Clakrsville Elementary School, USA)
Object Recognition using TensorFlow
Nahuel E Albayrak (Chesapeake Science Point High School, USA)
For this purpose, we constructed, trained, and applied an object detection model using TensorFlow. First, an image capturing system was built using camera lenses (Raspberry Pi Camera V2-8) and Raspberry Pi (Raspberry Pi 4) small computers. Next, the computers were set up with a software application called TensorFlow. The system was trained to recognize an automobile's model and color by processing a variety of car images. Pictures of different cars were uploaded from Google images and resized highlighting the features of the vehicle. Finally, code was developed in Python to create a universal clock for each camera that recorded the detection time.
Five trials were conducted using 2 automobiles available for testing. The cars were recognized by the model with 87 percent certainty in each of the 5 trials. That information was recorded on a table together with the time of capture and the location of the camera. The information from the table was used to successfully identify a specific car's location and speed, with a few limitations. Because of budget restrictions only two cameras were built and two models were used for training. The information from the cameras was not transmitted in real time because wifi or LTE capability are not available at this time. An extension of this research will include multiple cameras, multiple models and real time data transmission.
Rapid and Novel Thickness Identification Methodology For Two-Dimensional MoS? and In?Se? Nanosheets Using Optical Microscopy
Darren Y Wu (Charter School of Wilmington, USA); Tingyi Gu (Columbia University, USA)
Study of sample efficiency improvements for reinforcement learning algorithms
Tianyue Cao (Princeton International School of Mathematics and Science, USA)
A Futuristic Kitchen Assistant - Powered by Artificial Intelligence and Robotics
Riya J. Roy (Ridge High School, USA)
I accomplished this by learning Calypso's rule-based language and its five fundamental laws of computation. Using Calypso's various programming features such as perception, teleoperation, pursue and consume, conflict resolution, speech and hearing, landmark-based navigation, and path planning, I learned how to make Cozmo move around and do intelligent activities, which are demonstrated in my prototype.
I designed a model kitchen using a cardboard box. I used the wall templates that had special symbols called "ArUco markers" to help Cozmo recognize kitchen walls and door openings and plan his path accordingly. Once I had the physical model of the kitchen ready, I created a new Calypso program that simulated the model kitchen along with the walls, door openings, the Cozmo robot, and three cubes that represented three different types of food. The program enabled Cozmo to recognize my voice instructions to get a particular food, go to the kitchen through the door opening, pick up the cube that represented the correct food, bring it to the dining room, and then drop it on a plate in front of me.
I faced several challenges such as how to make Cozmo recognize my voice, identify the door openings correctly, and move around without hitting obstacles. Eventually, after a lot of testing and debugging, I was able to get the kitchen assistant working and was able to prove that using a robot programming language such as Calypso, a robot can be programmed to perform highly complicated tasks such as listening to voice commands from human beings, navigate from one room to another (i.e., from the dining room to the kitchen), pick up an object (i.e., food), and then navigate and bring the object to another room (i.e., from the kitchen back to the dining room).
In the future, I plan to add more intelligence to the kitchen assistant such as providing the ability for a person to select a dish/recipe on a smartphone app, making the kitchen assistant go to the kitchen, find the right ingredients, follow the instructions in the recipe, make the food, and then serve it to the person.
Session Chair
To Be Determined
Track 1 – Full Papers I
Using Text Data Mining to Enhance the Literature Search Process for Novice Researchers
Andres Fortino (NYU & Autonomous Professional Development, USA); Qitong Zhong, Luke Yeh and Sijia Fang (NYU School of Profesional Studies, USA)
Selection and Assignment of STEM Adjunct Faculty Using Text Data Mining
Andres Fortino (NYU & Autonomous Professional Development, USA); Qitong Zhong, Luke Yeh and Sijia Fang (NYU School of Profesional Studies, USA)
A three-year retrospective on offering an embedded systems course with a focus on cybersecurity
Ravi Rao (Fairleigh Dickinson University)
Cybersecurity is not restricted to a specific domain such as hardware or software and needs to address all aspects of operation of computer systems. Consequently, we have found it beneficial to introduce students to cybersecurity through an embedded systems course. Based on three years of teaching cybersecurity to students in an embedded systems course, we observe that students are excited and motivated to participate in hands-on lab exercises. We have taken special care to orient these lab exercises to breaking news articles about developments related to safety and cybersecurity. We also found it helpful to unify multiple lab exercises around a specific target application domain such as healthcare or retail.
Our results over a three-year period demonstrate that it is possible to teach essential cybersecurity concepts within a one-semester course to students who do not have prior exposure to this area. This knowledge needs to be expanded upon in other courses, thereby weaving a thread of cybersecurity through the students' educational experience.
MARREG-MARriage REGistration - for a better cause
Amit Mazumder (Ministry of Electronics and Information Technology, Government of India, India)
Integrating a Smartphone-Based Vibration Experiment into an Engineering Course
Musa Jouaneh (University of Rhode Island, USA)
Session Chair
To Be Determined
Track 2 – Works-In-Progress I
Experiment design with Galilean beam expanders for magneto-optical traps and the advanced undergraduate laboratory
Jared Matthew Cochrane (United States Military Academy at West Point, USA); Mary Lanzerotti, Corey Gerving, Seth Barbrow and Anthony Dinallo (USMA, USA)
This paper presents an accessible experimental design to introduce undergraduates enrolled in an applied optics course to beam expanders which they will encounter while designing and building a magneto-optical trap (MOT) in a subsequent laboratory course. Analysis of the experiment is carried out according to typical methodologies in undergraduate experiments.
Exploration of Pedagogical Interventions to Improve the Outcomes of Hispanics in AP Computer Science
Mayra S Bachrach (1000 Morris Ave, USA); Patricia A Morreale and Gail Verdi (Kean University, USA)
Impact of a Free Textbook on an Introductory Programming Course
Tacksoo Im, Hyesung Park, Wei Jin, Rick Price, Robert Lutz, Sonal Dekhane and Na'el Abu-Halaweh (Georgia Gwinnett College, USA)
A Preliminary Work on Visualization-based Education Tool for High School Machine Learning Education
Abel A Reyes, Colin Elkin, Quamar Niyaz, Xiaoli Yang and Sidike Paheding (Purdue University Northwest, USA); Vijaya Kumar Devabhaktuni (University of Purdue Northwest, USA)
SALP: A Scalable Autograding System for Learning Programming - A Work in Progress
Diego Calderon and Erick Petersen (Universidad Galileo, Guatemala); Oscar Rodas (Universidad Galileo & Tesla Lab, Guatemala)
Using virtual assistant for learning selected topics of Physics
José R Aguilar-Mejía and Santa Tejeda (Tecnologico de Monterrey, Mexico)
This study implements the use of a chatbot to increase the conceptual understanding of Newton's laws, integrating it into a didactic sequence in conjunction with active learning activities.
For the analysis of the data, an exploratory study with a pre-experimental design was carried out on several university physics groups, with a total of 122 participants. Hake's g was calculated to know the gain in the students' conceptual understanding.
The results of this study demonstrate that although there is an increase in students' conceptual understanding, the design of the didactic sequence needs to be improved to increase the percentages obtained. Likewise, it is necessary to develop instruments that allow direct measurement of the impact of the use of chatbot on student learning and the selection of a control group to compare the results of students who completed the didactic sequence, with those that take a traditional physics class.
Session Chair
To Be Determined
Track 3 – Full Papers II
Math & Crafts, Educational Activities: Ancient Math Methods, Future Directions
Ernesto Vega Janica (IEEE Standards Association, USA)
The research and analysis for this paper is limited to a number of numerical and abacus systems that could offer practical educational models, as well as, hands-on activities for children, educators and parents. The intent is to craft a few practical presentations to promote the use of mathematical analysis, as well as cognitive processes, while teaching basic mathematical concepts to kids. The research also plans to launch these initiatives at the local libraries and expose some of these concepts to a broader audience.
A Hands-on Project to Improve Student Learning Experience in Electronics: Building Ship Storage Room Security System
Wei Yu (Massachusetts Maritime Academy, USA)
Course-Specific Model for Prediction of At-Risk Students Based on Case-Based Reasoning
Haris Supic and Dzenana Donko (University of Sarajevo, Bosnia and Herzegovina)
A Comparative Analysis of Secondary School STEM Research Programs in a Chinese School and an American School
Xiang Gong and Erik Mohlhenrich (Princeton International School of Mathematics and Science, USA)
Device to Remotely Track and Locate the Position of a Child for Safety
Shamendra Egodawela, Ruwan Ranaweera, Janaka Wijayakulasooriya and Dushan Herath (University of Peradeniya, Sri Lanka)
Session Chair
To Be Determined
Track 4 – Full Papers III
Supporting Engineering Practices in Informal Learning Environments with a Tablet-Based Engineering Design Environment
Nicole M Zapparrata (Center for Advanced Studies in Education, USA)
The Preternship - An Academic-Industry Partnership Model for Early Experiential Learning Experiences in Computer Science Curricula
Matthew Morrison, John Dimpel and Emory Smith (University of Notre Dame, USA)
Design and Development of a SCADA Course for Engineering Undergraduates
Mohammad U. Mahfuz (University of Wisconsin-Green Bay, USA)
A social engineering awareness and training workshop for STEM students and practitioners
Aunshul Rege, Trinh Nguyen and Rachel Bleiman (Temple University, USA)
Mathematics Gamification in Mobile App Software for Personalized Learning at Scale
Chee Wei Tan and Pei Duo YU (City University of Hong Kong, Hong Kong); Lin Ling (Princeton University & City University of Hong Kong, Hong Kong); Ching Nam Hang and Man Fai Wong (City University of Hong Kong, Hong Kong)
Session Chair
To Be Determined
Workshops
Smart Home - Programming your first voice-controlled IoT device with MicroPython
Oscar Rodas (Universidad Galileo & Tesla Lab, Guatemala); Yeisson R Chicas (Universidad Galileo, Guatemala); Angel Isidro (Universidad Galileo & Tesla Lab, Guatemala)
Workforce Partnerships in STEM Education and Computing: A Case Study of Toms River Regional Schools, NAVAIR and the Office of Naval Research
Tiffany Lucey (Toms River Regional Schools, USA); Haidy Oliveira (Naval Air Systems Command, USA); Gaetan Mangano (Naval Air Systems Command - Lakehurst, USA); Marc Natanagara (Toms River Regional Schools, USA)
In the spring of 2018, Toms River Regional Schools was awarded the largest competitive grant in district history-a three-year coding project for high school students funded by the federal Office of Naval Research (ONR). TR:TechReady introduces teachers and students to industry-critical coding languages, most never seen in our schools, and their real-world applications. ONR promotes science and technology applications for the U.S. Navy and Marine Corps, and understands the ways in which district, industry, and naval goals can be aligned. TechReady includes free summer coding camps as well as training, activities, competitions, and access to resources throughout the school year.
In this workshop participants will learn about this partnership and the work of NAVAIR and ONR to engage with students and develop local talent as future employees. Computer science, particularly coding, is not only woven into every aspect of our lives, but the process of learning and applying CS and the mindset behind it brings value to every content area and helps students become future-ready problem solvers. Meeting the new NJDOE mandate-- for all high school graduates to study coding starting in 2022-- could be as simple as adding a new course, but we'll explore a more holistic and integrated approach that begins even with our youngest students.
Data Science for Social Justice: An Approach to Broaden Participation
RN Uma and Alade Tokuta (North Carolina Central University, USA); Adrienne Smith and Rebecca Lowe (Cynosure Consulting, USA)
Data Science for Social Justice: An Approach to Broaden Participation
2. Presenters:
1) Dr. R. N. Uma, NC Central University (Expertise: Professor of Computer Science - data science, scheduling and resource allocation with applications to cloud computing, robotics, wireless sensor networks and large logistics problems)
2) Dr. Alade Tokuta NC Central University (Expertise: Professor of Computer Science - image processing, robotics, computer graphics and computer vision focusing on the applications of deep learning to iris and face recognition, wireless networks, mobile computing and machine learning.
3) Dr. Adrienne Smith, Cynosure Consulting (Expertise: Education Researcher - evaluation, implementation, measurement, instrument development and validation)
4) Dr. Rebecca Lowe, Cynosure Consulting (Expertise: Education Researcher - evaluation of STEM education, quantitative and qualitative methods of data collection and analysis to increase diversity in STEM fields)
3. Contact Information of the Lead Presenter:
R. N. Uma
Email: [email protected]
Department of Mathematics and Physics
NC Central University
Durham, NC 27707
Ph: 919-530-6236
4. Learning Objectives:
1) Student Participants:
• Introduction to the field of data science.
• Insight into how STEM could be used as a vehicle to tackle social justice issues.
2) Educator Participants:
• Introduction to the field of data science.
• Insight into how STEM could be used as a vehicle to tackle social justice issues.
• Ideas for getting more underrepresented minority students interested in STEM.
• Ready-to-implement project modules, that could be incorporated as a project in a relevant course, an after-school activity, an extra-curricular activity or a club.
5. Target Audience:
Educators and Students (High School and above).
6. Workshop Overview:
Underrepresentation in STEM is a tenacious problem. Despite research identifying and addressing many of the prerequisite factors for recruitment and persistence in STEM (e.g., self-efficacy, sense of belonging), underrepresentation remains a problem. Best practices in teaching pedagogy stresses the importance of incorporating personally relevant contexts and scenarios to maximize student engagement. Our ongoing project (funded by NSF HRD#1912408) takes this pedagogical approach one step further by going beyond making STEM feel personally relevant to signaling a call to action by grounding instruction in social justice. Situating STEM as a vehicle for revealing and unpacking social inequities and promoting social justice, is a novel approach to STEM instruction and one that is likely to have broad appeal for many underrepresented groups in STEM. Data science, a burgeoning STEM field that focuses on applications across many areas in society (e.g., health care, law enforcement), offers the ideal starting point for highlighting to students how STEM provides a meaningful avenue for pursuing social justice.
In this workshop, participants will be led through an interactive hands-on activity to explore a real data set pertaining to a social justice issue, for example, gun violence or fatal police shootings.
The workshop will proceed as follows:
1) participants will discuss the social justice issue to gain an appreciation of the problem;
2) participants will discuss methods of tackling this injustice along with how data can be used to inform this process;
3) we will introduce a web-based open-source data analysis tool: CODAP- Common Online Data Analysis Platform (https://codap.concord.org/);
4) the participants, with our guidance, will visualize the data using CODAP;
5) we will also provide template R code for those who would like to visualize the data using R.
6) we will use R to analyze the data to gain an understanding of the importance of the features (or variables) and to discern those features that significantly contribute to this social injustice;
7) the participants will discuss how this new insight, gleaned from the data, can be transformed to address the social injustice either through policy changes or as a tool to inform training of the stakeholders;
8) the workshop will end with participants sharing their ideas of how they would adapt this project and/or how to improve this project.
Technology Requirements: This workshop requires a computer lab with internet access or participants need to bring their own laptops. Participants who would like to use R are encouraged to bring their own laptops. We will help participants install RStudio on their laptops prior to the workshop. RStudio is free and can be downloaded from: https://rstudio.com/products/rstudio/download/
Social engineering for multiple undergraduate STEM fields
Aunshul Rege, Rachel Bleiman and Mollie Ducoste (Temple University, USA)
Aunshul Rege, Temple University
Dr. Rege is an Associate Professor with the Department of Criminal Justice at Temple University. Her cybersecurity research projects on adversarial decision-making and adaptation, organizational and operational dynamics, and proactive cybersecurity are funded by the National Science Foundation. She has taught several undergraduate hands-on course projects in social engineering. Dr. Rege offered a 3.5 hour workshop on social engineering at the 2019 NSF Cybersecurity Summit, which was very well received.
Rachel Bleiman, Temple University
Ms. Bleiman is an undergraduate honors student at Temple University majoring in Criminal Justice with minors in Computer Science and Psychology. Her areas of interest include cybersecurity, privacy and surveillance. Ms. Bleiman helped plan, organize and co-lead the social engineering workshop at the 2019 NSF Cybersecurity Summit with Dr. Rege. She is currently working as a undergraduate research assistant on Dr. Rege's NSF CAREER grant which examines adversarial decision-making, adaptation, and group dynamics as cyberattacks unfold.
Mollie Ducoste, Temple University
Ms. Ducoste is a PhD student in the Criminal Justice Program and Temple University. Her areas of interest include community violence and community partnerships. She is currently working as a graduate research assistant on Dr. Rege's NSF EAGER grant looking at a mixed-methodology approach using social and computer science to understanding adversarial behavior in cyberattacks.
(3) Contact information of the lead presenter
Aunshul Rege: [email protected]
(4) Learning objective(s)
This workshop will introduce attendees to the topic of social engineering, tactics and psychological persuasion techniques used, SE playbooks, and relevance to cyberattacks and cybersecurity
(5) Target audience
Educators, students, industry, government, and anyone who is interested in human factors in cybersecurity
(6) An overview of the workshop (428 words).
Social engineering (SE) is defined as any act that influences a person to take an action that may or may not be in his or her best interests and is the method of utilizing human behaviors to engage in cybercrime. SE is a technique used to conduct reconnaissance, often the first stage of a cyberattack. Previous research indicates that adversaries, such as nation states and organized crime groups, spend a good portion of their time (50-75%) on reconnaissance. Nearly 70% of US organizations experienced SE attacks in 2017, costing the country approximately $2.76 million and each instance taking approximately 20 days to resolve. Cybersecurity experts agree that the human factor is the weakest link in cyberattacks, making SE a major concern for cybersecurity.
This workshop will introduce attendees to the SE topic, tactics and persuasion techniques used, SE playbooks, and relevance to cyberattacks and cybersecurity. The workshop will share social engineering case studies. Attendees will also engage in a safe, ethical, and fun hands-on social engineering activity then share their experiences. The workshop will end with an interactive discussion where attendees will share thoughts on possible SE prevention and mitigation measures, implementing SE training and education at their respective organizations, the role of ethics in training and education, and a Q&A session with workshop organizers.
Logic Models: A Tool for building successful interconnected STEM programs
Deborah Hecht (CUNY Graduate Center & Center for Advanced Study in Education, USA); Nicole M Zapparrata (Center for Advanced Studies in Education, USA)
(2) Name, affiliation and expertise
Dr. Deborah Hecht: Director of the Center for Advanced Study in Education, CUNY Graduate Center,
Expertise: PhD in evaluation and a full-time evaluator with over 30 years' experience evaluating STEM initiatives; Have evaluated numerous NSF funded interconnected STEM learning projects
Nicole Zapparrata: Research Associate at the Center for Advanced Study in Education.
Expertise: A doctoral student focusing on educational research and evaluation with a strong background in quantitate data analysis
(3) Contact information: Deborah Hecht, CASE/CUNY, 365 fifth Ave, Suite 3301, NY NY 10016, [email protected]. 212 817-1834
(4) Sessions Learning Objectives: To provide an understanding about how a strong evaluation plan can help facilitate program success. Specific learning objectives for participants
a. Understand what a logic model is and how it can help you conceptualize your project goals
b. Understand the importance of a logic model
c. Understand how to construct a logic model in a format that is communicative to others
d. Know how to construct a simple logic model
e. Be able to connect own goals to a logic model
f. Begin to develop a logic model for your program
g. Know where to access additional materials
(5) Target audience: Anyone managing an interconnected STEM program that would like to use evaluation data to help guide program decisions. Workshop will be especially useful to participants who want to create or refine a logic model and theory of action for their own work.
(6) Workshop overview: The workshop will be a combination of information sharing and hands-on work by participants. The facilitators will discuss how logic models provide a roadmap for understanding a project and assuring that the goals and anticipated outcomes of a program are reasonable given the proposed activities and available resources. The group will consider and learn about the importance of having a logic model when designing and/or evaluating a program. The group will also learn that logic model construction is a continuous process and about the importance of updating the model as the program matures. During the workshop several engaging activities will help participants develop an understanding of how they can create a logic model that is unique to their program. The group will be provided with examples of different types of logic models with varying complexities. They will work with templates individually or in groups and leave the session with an initial logic model and tools and examples for building a more complex model.
Future Learning Workforce
Bruce Hecht (Analog Devices, USA)
Proposed Workshop Program:
1. Motivation towards future learning
2. Symposium perspectives
3. Virtual future experience
After College General Physics: A Renewable Energy Primer
Jorge Santiago-Aviles (University of Pennsylvania, USA); Gerri Light (Western Governors University, USA)
LEARNING OBJECTIVES: In this workshop we are dealing with some fundamental concepts related to energy, in particular renewable energy, where no combustion of fossil fuel or carbonaceous materials take place, therefore, with no generation of greenhouse gases with its consequential global warming. The student will be able to relate how the principles of renewable energy system are easy to understand, reliable (distributed energy sources), and efficient ways of satisfying the overall energy needs for our home, neighborhood and / or perhaps our town, all this while respecting our environment and life in our planet.
TARGET AUDIENCE: This workshop is aimed at undergraduate freshman or sophomores, those who have taken a course in general physics, although it can be implemented with High School seniors who have taken physics.
OVERVIEW: We discuss some aspects of the sun as the only source of energy in our planet. How in the sun surface as a result of nucleosynthesis, electromagnetic radiation (light) is emitted into space until intercepted by the earth and how the brighter the light source, the greater the amount of energy radiated. There are two ways the Earth surface receive radiation from the sun, namely beam radiation, and when the light photons interact with gases or dust in the atmosphere (diffuse radiation). We will discuss the physics of photo-voltaic phenomena (PV), namely materials and devices capable of converting power in sunlight into electrical power. We will discuss the abundance, processing and basic physics of Silicon, doping, and the creation of junctions to forms diodes. The PV cells are a collection of diodes, how they transduce light into electric power, and the maximum power produced. The concept of energy bands and the band gap in crystals. How when a photon is absorbed by a Si solar cell forming an electron-hole pair, electric current is produced. The solar cell equivalent circuit, the concept of short circuit current and open circuit voltage and the maximum power. That modules (or panels) are collections of interconnected cells, and arrays, collections of interconnected modules. The concepts of the I-V (current-voltage) and P-V (power-voltage) characteristics, maximum power point, as well as the fill factor. Following, we discuss some concepts in charge storage, such as electrochemical cells, batteries (Pb-acid and the Li-ion), the problems of under and overcharging batteries, and the Charge Controller (CC). At this point we engage the different types of CC (on-off), PWM (pulse width modulation) and MPPT (maximum power point tracking), and their operating modes. How the usual stand-alone PV system (using battery storage) avail themselves with inverters capable of converting DC power into AC, as most household appliances are AC loads. There are grid-tied PV systems, that utilize no storage devices (batteries), and therefore no CC. In their case, they use micro-inverters (convert DC to AC at the grid frequency). The PV systems comprise a large part of the renewable energy systems implemented worldwide, as they are the less geography dependent and more reliable, although slightly more expensive than others on the average.
The second in the hierarchy of implemented renewable energy systems is the EOLIC or wind turbines. Note that wind currents result from the sun radiation preferentially heating the atmosphere in the tropics, carrying by convection heat energy to higher latitudes, and therefore highly geography dependent.
A wind turbine is fundamentally a Dynamo (DC) or alternator, with airfoil shaped blades attached to the rotation axis. The airfoil shape of the blades produces a force in the direction of rotation (lift) transducing (changing) the kinetic energy of wind motion into rotational energy and through the dynamo, into electrical energy.
The third renewable energy system discussed is the low head hydroelectric system. Note that water has 1000 times the density of air, therefore larger gravitational potential energy besides the kinetic energy of its motion as it flows. To transduce both the gravitational potential and kinetic energy of water, one needs a turbine consisting of a rotating wheel (the runner) coupled to an electrical generator (dynamo or alternator) as well as the water feeder pipes. For substantial head (vertical distance through which the waterfalls) "impulse" runners are utilized
There is a virtue in having small relatively isolated electric power generating centers (distributed energy resources), it enhances the grid (electric power network) reliability and ease of maintenance.
Face & Object Recognition using Machine Learning on a Raspberry Pi using a Webcam
Shubhendu Das (STEAM WORKS STUDIO, Princeton, NJ, US, USA)
In addition, we would be very happy to show the mechanics and intricacies of how to use Python, Machine Learning, Haar Cascades and train any object to be recognized using a low compute device like Raspberry Pi and a Web Camera. Learn the principle and technique that makes this possible.
Everyday there are hundreds of new applications that are being developed using the above technique and the best part is that it is simple to do! Hopefully some K-12 students can learn these basics and use them for some interesting product idea, use to better humans with some disadvantage, or build sustainable and green applications.
Saras-3D comprehensive 3D stereoscopic virtual hands-on VR/AR learning experience
Bipin D Dama (Saras-3D, Inc., USA)
Saras-3D has created app, content and associated hardware where STEM subjects are taught through 3D virtual hands-on experience and interactive gamification-based content including 3D video lectures, detailed explanations, quizzes, and practice tests.
We aim to open the third dimension using 3D technology to help students learn efficiently and develop a deeper understanding through teacher-guided learning as well as self-guided discovery. By creating interactive gamification-based learning, we can help students to increase interest and retention of topics that they find particularly challenging to grasp. When time is constrained, 3D virtual reality technology helps in understanding the fundamental concepts, simplifying the complex and impossibly large amounts of information into a coherent form.
Our vision is to provide tools that can encourage and create lots of great innovators and problem-solvers for society by sparking their interest in science and mathematics.
In this workshop/information session, we will demo our products and explain in detail the workings of the same.
https://youtu.be/qCjHHMPJsog
Presentation by Bipin D. Dama, Founder & CEO, Saras-3D, Inc.
https://www.linkedin.com/in/bipin-dama-70708b1/
ReadyAI Workshop on AI-Powered Robotics and Project Based Learning
Roozbeh Aliabadi (USA)
In the first part, students will be introduced to AI + ME (online AI experience on % big ideas in AI). They will be introduced to the Calypso for Cozmo programming framework (see https://Calypso.software) and the Cozmo robot.
They will further use these tools to develop preliminary interactive demos or games that highlight how artificial intelligence can make our lives better.
The session will be led by David Touretzky, a Research Professor in the Computer Science Department at CMU and Roozbeh Aliabadi, CEO of ReadyAI and Yang Chan Program Director of Ready AI.
Ready AI will supply the robots and other equipment needed for the workshop, and provide a staff member to assist with operations.
Target audience: This activity is designed for undergraduate CS and ECE students, K12 teachers and K12 students who are curious about AI. We will place particular emphasis on attracting women and members of underrepresented groups.
Experiential Learning Using Free Web Tools and Services - Assessing Impact on Engineering Students' Academic Achievement and Self-Efficacy
Muhammad Safeer Khan and Mohamed Ibrahim (Arkansas Tech University, USA)
1. Become familiar with the use of freely available web tools and resources to engage in experiential learning.
2. Addressing students' four-stage model of experiential learning in Engineering courses (a) have some form of hands-on active learning experience, (b) reflect on this experience, (c) abstract general rules or concepts from it, and (d) actively experiment with applications of these new concepts, generating new concrete experiences through repetitions of the cycle.
3. Understand approaches to investigate impact of experiential learning on students' academic achievement and self-efficacy through empirical data collection and analysis.
200 years of Electro-Magnetism
Helena Rittenhouse (Princeton University EPICS, USA)
The focus of this workshop would be to teach the history of electromagnetism through hands-on, interactive exhibits that can easily and affordably be recreated in the classroom.
My proposed activities are all interactive, engaging recreations of original experiments.
My name is Helenka Rittenhouse and I am a sophomore at Princeton High School. I have been participating in Professor Michael Littman's Engineering Projects in Community Service ( EPICS) course at Princeton University for the past year. Specializing in Joseph Henry's electromagnetic discoveries, we conduct outreach programs at schools, libraries, and in the community teaching and showcasing the works of Joseph Henry and other significant scientists in the history of electromagnetism.
My 90-min workshop, intended for STEM educators, would consist of a short PowerPoint presentation followed by five stations of interactive, engaging activities, each exploring significant historical discoveries in electromagnetism. Each station will have easily and inexpensively replicable experiments for classroom demonstration.
Session Chair
To Be Determined
Track 5 – Full Papers IV
Experiences Toward An Interactive Cloud-Based Learning System for STEM Education
Bharath Kumar Samanthula, Mirza Mehran, Michelle M. Zhu, Nicole Panorkou and Pankaj Lal (Montclair State University, USA)
Behavioral Simulation Educational Framework for 2-Terminal MTJ-based Analog to Digital Converter
Gustavo Camero, Soheil Salehi and Ronald DeMara (University of Central Florida, USA)
Interdisciplinary Collaboration Approaches on Undergraduate Virtual Reality Technology Projects
Eric Nersesian, Margarita Vinnikov, Jessica Ross-Nersesian and Michael J Lee (New Jersey Institute of Technology, USA)
Suspended Load Swing Stabilization
Thomas R Aldhizer, Austin Morock and Kristina Hughes (The United States Military Academy, USA); Mary Lanzerotti (USMA, USA); Suzanne Christoff, Susan Lintelmann and Jacob Capps (The United States Military Academy, USA)
Pre-college Computer Science Initiative for Augmented and Virtual Reality Development
Eric Nersesian and Adam Spryszynski (New Jersey Institute of Technology, USA); Tracy Espiritu (Passaic County Technical Institute, USA); Michael J Lee (New Jersey Institute of Technology, USA)
Session Chair
To Be Determined
Track 6 – Works-In-Progress II
Systems Thinking and STEM/Technical Training: How to Use a Holistic View to Prevent End-to-End System Problems
Dwight Bues (SAIC Corp., USA)
Improving method of instruction in classrooms
Sanish Rai (West Virginia University Institute of Engineering, USA)
Improving computer science lab feedback methods
Sanish Rai (West Virginia University Institute of Engineering, USA)
STEM Leadership and Training for Trailblazing Students in an Immersive Research Environment
Marisel Villafañe-Delgado, Erik Johnson, Marisa Hughes and Martha Cervantes (Johns Hopkins University Applied Physics Laboratory, USA); William Gray-Roncal (Johns Hopkins University Applied Physics Laboratory & Preparation Meets Opportunity Foundation, USA)
A Study of Localization Methods to Help Elderly Patients in their Home Environments
Akbar Ali (University of Virginia, USA); Jennifer Suon (Towson University, USA); Muhammad Ali Yousuf (Johns Hopkins University, USA)
Session Chair
To Be Determined
Track 7 – Full Papers V
Out-of-school Time STEM: Teach Programming Using Python for High School Girls
Chaoyi Wang and Michael Frye (University of the Incarnate Word, USA)
Encouraging Higher Education STEM Careers Through Robotics Competitions
Rodrigo A Canek (Universidad Galileo, Guatemala); Pablo A Torres (Student Universidad Galileo, Guatemala); Oscar Rodas (Universidad Galileo & Tesla Lab, Guatemala)
Development of low-cost IoT devices to encourage STEM skills in Guatemalan environments
Yeisson R Chicas (Universidad Galileo, Guatemala); Angel Isidro and Oscar Rodas (Universidad Galileo & Tesla Lab, Guatemala)
Designing the curriculum for a minor in Cyber Criminology
Rajesh Prasad (Saint Anselm College, Manchester, NH, USA); Liana Pennington (Saint Anselm College, USA)
Influencing factors to choose STEM areas: The case of Mexican strongly STEM-oriented high school students
Angeles Dominguez (Tecnologico de Monterrey, Mexico & Universidad Andres Bello, Chile); Santa Tejeda and Blanca Ruiz (Tecnologico de Monterrey, Mexico)
Session Chair
To Be Determined
Track 8 – Full Papers VI
Virtual Collaboration Training for Freshman Undergraduate STEM Students
Eric Nersesian, Jessica Ross-Nersesian, Adam Spryszynski and Michael J Lee (New Jersey Institute of Technology, USA)
Lyapunov Based Trajectory Tracking Dynamic Control for a Qbot-2
Sabiha Wadoo (New York Institute of Technology, USA); Marc Vazquez and Mateusz Ardito-Proulx (NYIT, USA)
Evaluation of Smartphone-based Sound Level Meters
Trinity Cheng (River Hill High School, USA)
STEM Outreach: A Literature Review and Definition
Ralph Tillinghast (US Army & CCDC Armaments Center, Picatinny Arsenal, NJ, USA); Daniel C Appel (US Air Force Research Laboratory, Kirtland AFB, NM & AEgis Technologies Group Inc., USA); Carla Winsor (University of Wisconsin-Madison, USA); Mo Mansouri (Stevens Institute of Technology, USA)
Student Performance Prediction from E-mail Assessments Using Tiny Neural Networks
Nikhil Yadav (St. John's University, USA); Kajal Srivastava (Jaipuria Institute of Management, India)
Session Chair
To Be Determined
Track 9 – Full Papers VII
Middle School Students Learn Binary Counting Using Virtual Reality
Eric Nersesian, Margarita Vinnikov, Jessica Ross-Nersesian, Adam Spryszynski and Michael J Lee (New Jersey Institute of Technology, USA)
Evaluation of a Snake Jaw Robot to Teach Integrated Biology, Mathematics, and Engineering
Lauren Garofalo, Samantha Sandler and Deeksha Seth (Villanova University, USA)
Interdisciplinary Project Based Learning Approach for Machine Learning and Internet of Things
Muhammad Safeer Khan and Mohamed Ibrahim (Arkansas Tech University, USA); Nansong Wu (Sonoma State University, USA); Rajvardhan Patil (Arkansas Tech University, USA)
Electrical Engineering Core Course Laboratory Creation for Non-STEM Majors
Christopher Martino, Dan Opila, Brent West, Louiza Sellami, John Stevens and Deborah Mechtel (United States Naval Academy, USA)
Instrumentation & Investigation of Phage-Antibiotic Synergy on K. pneumoniae, H. alvei, and Transductant H. alvei
Ibnat Meah (Dallatown Area High School, USA); David Singleton (York College of Pennsylvania, USA)
Session Chair
To Be Determined
Track 10 – Full Papers VIII
A Hands-on Middle-School Robotics Software Program at MIT
Sabina Chen and Andrew Fishberg (Massachusetts Institute of Technology, USA); Eyassu Shimelis (MIT, USA); Joel Grimm (MIT Lincoln Laboratory, USA); Scott van Broekhoven (MIT, USA); Robert Shin (MIT Lincoln Laboratory, USA); Sertac Karaman (MIT, USA)
Active and Collaborative Learning Based Dynamic Instructional Approach in Teaching Introductory Computer Science Course with Python Programming
Mahmudur Rahman, Monir Sharker and Roshan Paudel (Morgan State University, USA)
Student-Inspired Project-Based Learning in an Embedded Systems Course
Girma Tewolde (Kettering University, USA)
STEM Outreach: A Stakeholder Analysis
Ralph Tillinghast (US Army & CCDC Armaments Center, Picatinny Arsenal, NJ, USA); Daniel C Appel (US Air Force Research Laboratory, Kirtland AFB, NM & AEgis Technologies Group Inc., USA); Carla Winsor (University of Wisconsin-Madison, USA); Mo Mansouri (Stevens Institute of Technology, USA)
Performance Improvement of 18-bit ?? A/D Convertor
Aws Zuheer Yonis (Universitiy of Ninevah, Iraq); Khalid Mohammed (University of Mosul, Iraq)
Outlook of Commonly used Biometrics and Assessment of Best Trait for High Level Security
Shahad Sultan (University of Mosul, Iraq) and Mayada Faris Ghanim (University of Mosul, Iraq)
Session Chair
To Be Determined
Poster Session 2
Development of stock correlation networks
Lixin Huang (Princeton International School of Mathematics and Science, USA)
In this study, we establish a method to depict the relationship between two stocks in a more generalized way, as to provide a new approach to find the relationship between two stocks other than correlation. The following four categories are taken into account: the correlation between the stocks, how close the stocks are in case of the category of the companies that issue the stocks, how frequently that the two stocks are mentioned together, and possible transaction in the business between the two companies that issue the stocks.
To determine the relationships between stocks, an algorithm is initiated to generate a score between 0 and 1 for all four categories described above. Typically, a higher score indicates a more significant relationship between the two stocks. The data of the stocks are imported from the wind database, including the price and category of the stocks. The business transactions between the companies have been taken from D&B Hoovers. Primary and secondary sources about the stocks will be considered as textual evidence.
On the basis of the algorithm, the following 4-step analyses have been conducted. First, the correlation between the two stocks is calculated using the covariance matrix from the DCC-GARCH model. We assume the score of the correlation section equals the correlation between the two stocks. Second, if the fields of the two companies that issued the stocks are closer, the score for this section will be higher. Third, the score for the business transaction between the companies is determined by the proportion of transactions between the two companies. Last but not least, the score for textual evidence will be calculated using the equation below.
s_t=1-\frac{1}{ln(n)}
Where s_t is the score for textual evidence and n is the number of articles that mentioned both stocks. The final score between the two stocks is calculated by the weighted average of the scores for the four categories. After the score between each pair of stocks in the market is determined, an app is developed to display the top ten correlated stocks with the user's search to facilitate and optimize their selections in the stock exchange market.
In the future, this research could be conducted in the following three aspects. To begin with, the weight for the score for each part can be adjusted with more stock examples in order to depict the relationship between two stocks more accurately. Furthermore, the graph can be more user-friendly to increase the engagement of the users. Last but not least, a more sophisticated, multi-level categorization can be developed to optimize the categorization of the stocks given.
Uncovering the Genetics behind Alzheimer's Disease and Sleep: A Co-expression and Evolutionary Analysis
Sihan Fei (Princeton International School of Mathematics and Science, USA); Zeqing Li (Princeton International School of Math and Science, USA)
Developing a Respiration Sensor for Babies
Ingrid J. Cruz (Oxon Hill Middle School & Southern University, USA); Michelle Soriano, Sarah Christie, Jazlynne Pichinte and Peter Chura-Borda (Oxon Hill Middle School, USA)
We started the project by researching existing sensors in the market. We first narrowed down the 2 main ways of measuring an infant's respiration rate. The first way is contact-based while the second way was non-contact based. We decided contact-based was the best option since non-contact ways were more difficult to try. From contact-based, we figured out that there were 4 ways of measuring the respiration rate. These 4 were the acoustic method, the Co2 method, the airflow method, and the chest and abdominal method. The acoustic method needed a microphone and we imagined it would be hard to get a microphone for a baby. The Co2 method was also expensive to afford. We couldn't find a device to go along the airflow method. The last option was chest and abdominal movement and we looked into it and it seemed like the best choice if we use a flex sensor with it. Coding took the most time on the project because we had to learn how to do it from scratch. Our code was based on previously published codes we found online that we combined together in order to make our respiration sensor work.
The final prototype has the following design features:
-We used an expandable waistband with velcro lock to make it adjustable and allow appropriate fit on different infants while at the same time ensuring comfort for the baby. We also made it double layered in order to hold the sensor in place and catch every movement of the chest.
-We also added a little cut in the waistband to allow the flex sensor to be removable, making the waistband washable
- We made a pink waistband and a blue waistband for if the parents wanted a certain color for their child.
-We also made the code have a special feature in which if the baby stops breathing then the code will assume the baby is 'not breathing' and a buzzer on the device will sound.
-To top all of that, we added an LCD screen to show the readings and the whole system connects to a battery making our design very portable.
Aerogel Composites: Historical and Novel Synthesis Methods and Applications
Michael Chen (Hillsborough High School, USA); Akindu Dasanayake (Hillsborough High School, USA); Rohan Deb ((Hillsborough High School); Varun Deb (Hillsborough High School); and Evan Zhao (Dunlap High School, IL)
Case Study of Asymmetries in Polar Rain Aurora
Dennis M Herschbach (Reservoir HS, USA); Yongliang Zhang (Johns Hopkins University Applied Physics Laboratory, USA)
A special kind of aurora, polar rain aurora (PRA), is a phenomenon caused by solar wind electrons that enter the polar atmosphere directly on open field lines. Precipitating electrons, which are not energized/accelerated by the magnetosphere, often have low energy flux and don't create visible aurora. However, satellite-based ultraviolet imagers have higher sensitivities and are able to detect lower energies. PRA events were obtained through a manual search of auroral images from the Global UltraViolet Imager (GUVI) on the Thermosphere Ionosphere Mesosphere Energetics and Dynamics (TIMED) satellite and the Special Sensor Ultraviolet Spectrographic Imager (SSUSI) on the Defense Meteorological Satellite Program (DMSP) satellites. While PRA often appears in symmetrical and homogenous shapes, we present multiple events that exhibit unique spatial variations and structures such as shifts, tilts, or gaps. These features are likely due to structures in the solar wind energetic electrons, the magnitude and orientation of the interplanetary magnetic field (IMF), magnetic field reconnection, magnetic variations on the high latitude magnetopause, and/or a combination of the four processes above. In order to fully understand PRA variations and structures, a comprehensive statistical study as well as global magnetosphere simulation is required.
Nanoservice Infrastructure Notation (NINo) and the ASPIRE Interns
Chancellor T. Pascale (Johns Hopkins University & JHU APL, USA); Maria Rice (W. T. Woodson High School, USA); Shiva Sharma (Hammond High School, USA)
In previous years ASPIRE interns have developed tools to ease the acceptance of DevOps principles in JHU APL. They have created a web application, Harmonia, that asked users a few simple questions and supplied the scaffolding for a software project with artifacts to support sound software engineering processes. The lack of user interest has driven us to a more focused objective. NINo will focus on easing deployment to cloud environments.
Ideally, any person could develop cloud-based data science services.
The team and its work has been organized in an asynchronous and agile manner. There have been three members working on three subsystems: configuration, framework/integration, and artifact generation. An incremental and prototype-driven approach has allowed for creation of increasingly more functional software as internship has proceeded.
Interns have been given extensive control over their development processes and have investigated the programming frameworks used.
While the initial stages have not resulted in a complete system, the interns have improved their programming skills and complete common coding challenges. The team is close to integration testing and initial demonstration.
As the academic year closes, team members will work on design improvement, refactoring, and generation of future feature requests from prospective users. One summer intern will focus on developing a user interface for configuring and observing results.
Development of a System of Cerium(IV) Oxide Nanoparticles In Maximizing its Antioxidant Ability
Ziqi Jiao (Princeton Int'l School of Maths & Science, USA)
Over the past 5 months, I have read countless online sources about the synthesis of Cerium(IV) Oxide nanoparticles and their biomedical applications. I gathered numerous methods of synthesis and conducted experiments for each of them. In total, I have acquired 4 samples of CeO2 nanorods and 2 samples of CeO2 nanospheres. These nanostructures have been sampled under a Transmission Electron Microscope (TEM) and produced representative images of their morphology and size. Furthermore, these nanoparticles have been confirmed of their CeO2 content using FT-IR spectroscopy. One sample of CeO2 nanorods has also been surface-modified using polyvinyl alcohol (PVA) and FT-IR results show that the polymer molecules are firmly attached to the nanoparticles and don't come off even after violent disturbing and washing using a high-power sonicator probe. These results show that the synthesis methods viable in out laboratory turns out successful and with good yield.
I have also discovered the complex method utilized by other researchers of coating the nanoceria on silicon dioxide nanoparticles, which should increase the number of active sites and make the nanoparticles more efficient. I have tried synthesizing a coating layer of SiO2 on ferromagnetic nanoparticles to make the system easier to maintain, and further results are still pending.
A number of photometric evaluations of the antioxidant ability of nanoceria have also been conducted. In brief, CeO2 nanoparticles are mixed in an environment containing a hydroxyl radical source and a dye vulnerable to radical oxidation. The results show that CeO2 nanoparticles have a significant effect in neutralizing part of the hydroxyl radicals generated, but the results are not as prominent as stated in previous research. Finer tunes to the experimental conditions have also taken place, and results are still pending.
Effect of Roundup on Planarian Locomotion
Neelofar F Tamboli (Princeton International School of Mathematics and Science, USA)
Catalytic Ability of Ag-coated Ferromagnetic Microspheres Functionalized by TiO2
Qiyang Zhou (PRISMS, USA)
In my research, I performed an experiment and will present a way of synthesizing Fe3O4@AgNPs@TiO2 microspheres by functionalizing the ferromagnetic microspheres with silver nanoparticles before TiO2. A photocatalytic test on the decomposition of methyl blue will also be performed to determine the catalytic ability of the obtained microspheres.
Quality Control of Brand Name Aspirin drug and Generic Aspirin drug
Jiale Lu (Princeton International School of Mathematics and Science, USA)
complicated process while generic drugs do not require complicated development and
testing process. The huge price difference between the generic drugs and brand name drugs makes it important to analyze the differences in properties between these two kind of drugs. This research examines the physically and functional differences between brand name drug and generic drugs. The research primarily focus on the aspirin tablets sold on the market. The physical properties, such as width and weight, are measured. The uniformity of dosage unit is compared through the second derivative UV measurement to the aspirin inside the tablet. The function of the enteric coating is testified with solutions with different pH value in a dissolution tester. The disintegration rate for the tablets are measured and the total time for dissolving is also recorded. The final goal of this research is to find the difference and suggest one possible method for people to select between generic drugs and brand name drugs as well as one possible improvement for generic drug companies. From the result of the measurement, when comparing the aspirin pills from Bayer AG with generic aspirin, the consistency of the amount of aspirin in the brand name drug is greater and the coating is more effective when exposing to the acidic environment. The same method can be further applied to other drugs. Further studies can be done to improve the accuracy of this testing method.
Abstract of Kelvin Water Dropper
Edward Rossi Banfe (Princeton High School & Engineering Projects In Community Service, USA)
Magnet Dynamo - Princeton University EPICs
Hugo Kim (Princeton University EPICS, USA)
In short, the magnetic dynamo works by using rotating magnets to cut through the lines of flux created by magnetic wire (a "stator"). In other words, the dynamo generates electricity by rotating one magnet under the influence of a separate magnetic field. The moving magnetic field pushes electrons through the wire, which generates an electromotive force (a phenomenon described by Faraday's Law of Induction). As a result, electrons move through the wire, generating a current that can be used to power devices.
Dynamos were the first electric generators powerful enough for industrial use; although the first dynamos used permanent magnets as the stator, the first industrial dynamo used electromagnetic coils as their stator. Passing a current through a conductive coil creates a much stronger electromagnetic field than permanent magnets. This happens because the magnetic flux lines produced all pass through the coil's center and overlap to create a very strong field. This principle allowed the dynamos using electromagnetic coils to produce enough power to be industrially viable.
Today, most power stations have phased out larger dynamos for alternators. Alternators are also a type of electric generator, but unlike dynamos, alternators produce alternating current, which periodically switches direction. In contrast, dynamos only produce direct current (current that flows only in one direction). AC is now the way electricity is delivered to houses and businesses; this is because AC voltage is easier to control with a transformer, which makes the energy transfer more efficient. Nevertheless, the low-voltage DC current provided by dynamos is still often used in modern electronic devices, wh