2022 IEEE Integrated STEM Education Conference (ISEC)最新文献

{"title":"Using Mycelium for the Packaging and Transportation of Fossils","authors":"Victor Robila","doi":"10.1109/ISEC54952.2022.10025056","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025056","url":null,"abstract":"Despite surviving hundreds of thousands or even millions of years, fossils could be very brittle once unearthed. Insulation against outside elements is needed in order to protect the fossil on long trips from remote locations. Unchanged for decades, current fossil packing approaches rely on simple materials such as Plaster of Paris, toilet paper, and water, all in large amounts. While easily accessible, such materials also result in significant waste, are difficult to apply to the fossil, and also become difficult to remove. In this project, an alternative eco-friendly packing approach based on mycelium is proposed and evaluated. Mycelium is a part of a fungus that helps it absorb nutrients from its environment and usually comes in a thread-like mass. The mass is found in various forms and can be quite strong depending on the species. Unlike paper or Plaster of Paris, mycelium is a renewable material that has been shown sturdy enough to replace bricks in home construction. The experiment was conducted using 4 cups of Plaster of Paris and 4 cups of mycelium with a bone embedded into one of the cups from both materials to simulate the fossil. The mycelium cup was left for two weeks to grow and the materials were then evaluated in terms of their physical aspects. The weight, density, volume, and water resistance were experimentally determined. The experiment showed that while taking longer to create, the mycelium was lighter and less permeable than the Plaster of Paris. The use of mycelium both in fossil transportation and other applications could have great benefit for the climate, and could also be used as an affordable substitute for packing materials.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131125535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards the Effective Selection of Guest Speakers within an Introductory Electrical and Computer Engineering Course","authors":"Henry Griffith, Jonathan Flores, Ashley Larweck","doi":"10.1109/ISEC54952.2022.10025059","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025059","url":null,"abstract":"Guest speakers are routinely utilized to enhance instructional effectiveness within introductory engineering courses. While many researchers have reported the general benefits of this technique, strategies for speaker selection and the assessment of student experiences are largely underexplored within the engineering education literature. This work-in-progress manuscript describes preliminary efforts to improve the guest speaker component of the Introduction to Electrical and Computer Engineering course at the University of Texas at San Antonio. A preliminary approach for guiding speaker selection based upon known persistence factors is presented. Additionally, student perceptions from the initial implementation of the redesigned guest speaker series during the Fall 2021 semester are also provided.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127573782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Credibility based Teaching Assessment in Smart Campus","authors":"Ruizhi Liao, Qianyu Ou, Wenjun Zheng, Zhan Shi, Shuzhen Li","doi":"10.1109/ISEC54952.2022.10025348","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025348","url":null,"abstract":"Student evaluation of teaching is widely used to assess teaching quality. Regression studies reveal that there is a positive correlation between students’ expected grades of a course and teaching assessment scores (TAS) rated by students in that course. Thus, faculty may have an incentive to water down the course content or be lenient with students in order to get higher TAS. It leads to the so-called grade inflation or TAS distortion. In this working paper, we propose a credibility model to calculate weighting factors for revising student assessment scores of their instructors. The credibility model aims to alleviate TAS distortion by integrating study information of students (e.g., usage time of library or study rooms), which is faithfully recorded by devices and applications in smart campus.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132672415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The STEM of Origami","authors":"R. Balaji","doi":"10.1109/isec54952.2022.10025216","DOIUrl":"https://doi.org/10.1109/isec54952.2022.10025216","url":null,"abstract":"You may be asking “Why origami? What use is art in the elements of STEM?” and you are not wrong to question that. After all, origami might seem like just a form of art, but it is much more. For starters, origami is an art of paper folding. Origami can be made as decorations - just something to showcase. But if you take it a step further, you can unlock a new world of creativity, especially in the world of STEM. I got interested in origami and started making models as a hobby. One part of origami that I found beneficial was that it can help with understanding the concepts of MATH related subjects such as Geometry. I started exploring origami and its uses and found out that it has been an inspiration for many STEM models. In this poster, I am going to discuss my experience exploring some origami models made by other artists, and their uses in STEM.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133375797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing MATLAB Data Acquisition and Control Functions for the LABVOLT Electromechanical Training System","authors":"K. Rall, Hussein Abdeltawab, Mesude Bayrakci-Boz, S. Anwar","doi":"10.1109/ISEC54952.2022.10025090","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025090","url":null,"abstract":"The LabVolt Electro-Mechanical System (EMS) is a comprehensive educational training system developed by Festo-Didactic and is adopted by various higher education institutions. The LVDAC-EMS is the software developed by the manufacturer for data acquisition and preliminary control functions; However, customized monitoring functions or tailored control tasks are not supported by the LVDAC-EMS. On the other hand, MATLAB contains various functions and toolboxes for data analysis and control; thus, it would be an ideal software to interface with the EMS to expand its data analysis capabilities. While Festo-Didactic provides a software development kit (SDK) to interface MATLAB with the EMS, the SDK functions are complicated and not user-friendly. The development of a LabVolt MATLAB Interface would simplify the SDK to allow for the easy integration of MATLAB with the EMS so that researchers can use MATLAB to analyze data collected from the EMS. The developed interface contains various functions to acquire data, plot data, and control the outputs and power supply of the EMS. Future work will be creating additional functions and sharing a toolbox for the MATLAB- LabVolt EMS interface.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114597887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated Robot (Car) using Artificial Intelligence","authors":"S. Mishra, Cao Sy Minh, Hoang Thi Hong Chuc, Tran Viet Long, Thanh Tung Nguyen","doi":"10.1109/ISEC54952.2022.10025107","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025107","url":null,"abstract":"This paper discusses about researching an automated robot car using artificial intelligence; training its neural network using AlexNet model, using YOLO (you only look once algorithm) for object detection phase and for practical deduction and judging component we have used Open Neural Network Exchange (ONNX) format. Our Robot Car model is agile and cost efficient. It detects objects efficiently in front of it and movement of it is smooth. It moves through sensors in motors which makes it different than other models in the world.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132938895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detecting Anomalies in IoT Device Communication Based on MUD Profiles With Zeek and Python","authors":"Rohan Nunugonda, V. Sekar","doi":"10.1109/ISEC54952.2022.10025258","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025258","url":null,"abstract":"The threat of Internet of Things (IoT) vulnerabilities remains highly persistent today, with IoT devices responsible for a third of all infections in mobile networks by the end of 2020. Consumers are now more worried about their personal data being compromised or collected by unauthorized personnel. Run by Dr. Vyas Sekar, the IoT@CyLab Initiative at Carnegie Mellon University’s CyLab focuses on creating technologies that address different IoT issues by creating a network that can independently protect devices from potential threats and miscommunications. In this research, we analyze device communications with the use of Python to generate a Zeek script that uses device protocol and IP address information from the device MUD profile. Via string manipulation, the Python script grabs the allowed destination IP addresses from the MUD profile. This list is passed into the Zeek script, which checks the addresses in the list against destination addresses in a PCAP file that contains the device communications. PCAP files, MUD Files, and other test data are from open-source resources from the University of New South Wales (UNSW). We use the device connection CSV file they offer to find the host address of the device being analyzed. Once that host and destination IPS are inserted into the Zeek Script, logs of suspicious connections are generated. Results of this experiment have led to successful log creations. However, further testing needs to be done to check the validity and accuracy of the logs. Once this is proven, next steps include improving the efficiency of the string manipulation algorithm and a revision of the algorithm to allow assessment of real-time data flow.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"321 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120949869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Undergraduate research: Cyclostationary plot classification using machine learning","authors":"Nicolas Null, Sanish Rai, R. Lynch, Tyler Kibler, Matthew Gilley, John Morgan","doi":"10.1109/ISEC54952.2022.10025254","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025254","url":null,"abstract":"Undergraduate students at WVUTech collaborated with Greenbank Observatory, WV to develop models to automatically identify the astronomical data containing radio frequency inference and noise. Normally the identification of RFI signals would be done manually by observing the images built from the data and would take a lot of manual time for processing. A machine learning model could automate the process and save a lot of time in such identification as well as the model can be used in real-time identification. The project was done over the course of two semesters with students from Computer Science majors. Students developed a convolutional neural network model that can run on GPU and obtain an accuracy of more than 90% after training on the available data. This paper discusses in detail the research work done and the results obtained by the students. Students used concepts of image processing and machine learning to develop the model.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114902801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of Chitosan Encapsulated Thyme Essential Oil as an Alternative Fruit Fly Repellent for Household Use","authors":"V. Wu","doi":"10.1109/ISEC54952.2022.10025133","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025133","url":null,"abstract":"Fruit flies not only cause unsightly scenes, but also carry food borne pathogens that can pose severe health risks. They are common in food service facilities, and can also infest regular households, particularly when a family composts food waste. Although these small pests are a nuisance, there is still no established ready-to-use method to control fruit fly infestations at home, and most people resort to using homemade fly traps from everyday items such as vinegar and dish soap. To address this issue, in this study, a thyme oil encapsulating chitosan product was developed so that it can be used in household compost bins to help control fruit fly infestations through the repelling and killing of fruit flies. The experiment was conducted in two steps. First, a 2-choice fruit fly repelling assay was established and 18 different essential oils were selected through literature research for reported insect repelling effect and tested in the assay. A separate toxicity assay was also conducted through recording the number of fruit flies killed by the essential oil. Thyme oil was selected for further experimental design because it showed the highest repelling effect, and it is safe and environmentally friendly for home-use. Second, to prevent fast depletion and reduce the need for repeated application, the thyme oil was encapsulated into a chitosan matrix for controlled release. Chitosan was selected due to its biodegradability and unique property of turning into semi-solid form through ionization gelation. After testing different experimental conditions of encapsulated thyme oil concentration, type of surfactant, and surfactant concentration for optimal encapsulation efficiency and loading capacity, a prototype product was generated using 2% chitosan, 2% thyme oil and 1% Tween 80. The prototype demonstrated 100% fruit fly repelling effect and 65% fruit fly killing effect after 24 hours in the 2-choice repelling assay and the toxicity assay, respectively. Encapsulation efficiency and loading capacity, measured by thyme oil absorbance at 270 nm, were 65.1 ± 3.5% and 61.2 ± 3.3%, respectively. No significant loss of thyme oil content or insect repelling capability was observed after six weeks. This study created a prototype product suitable for household use to help control fruit fly infestations and may provide useful information to guide encapsulation of a wider range of pesticides to replace insect sprays that are of very short effect duration. Further studies will be conducted to determine the long term stability of the product, and more materials (e.g., other natural polymers such as agar, gelatin, and alginate) will be investigated to determine the optimal encapsulation with affordable price and promising fruit fly repelling efficiency.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115407541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reducing Plastic Consumption with Molecular Gastronomy","authors":"Shreya Dutt","doi":"10.1109/ISEC54952.2022.10025282","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025282","url":null,"abstract":"Plastic consumption is one of the main causes of pollution and climate change in our world today. Over time, pollution has filled up our oceans and hurt animal and plant life, in water in addition to on land. Plastics do not biodegrade efficiently and they can stay on our planet for over 500 years after being disposed of by a person. As more plastic gets piled up on land and in oceans, the chances of finding a solution get smaller. However, after this issue became more recognized, there have been many interesting ideas on how to create a solution. One of these ideas is known as molecular gastronomy, or food science. Molecular gastronomy can be utilized to create edible replacements for products that lead to high plastic consumption, making it a viable solution. This has been implemented in the last few years into reducing the need for plastic water bottles and using water bubbles made from food grade calcium lactate and sodium alginate. This will assist in creating a brighter future for us and the environment.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"347 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121613103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}