5153 research outputs found
Sort by
Waste Compression Bin
No full textA waste compression bin that targets public restrooms was proposed since the trash disposed of is mostly paper waste. The paper waste thrown into the system stays on top of the bin and never fills the entire volume. This new system compresses to fill the entire volume of the trash can and eliminate unwanted gaps
Social Justice CAS Standards in Learning Assistance Program Evaluation
No full textThe purpose of this study is to investigate the articulation of Diversity, Equity, and Inclusion (DEI) standards in the CAS Learning Assistance Program (LAP) Standards. The overall goal of this investigation is to inform the revision of the CAS LAP Standards for fair and equitable assessment of student programs and services
Trump Zombies
No full textA frank reckoning with what happened at the Capitol on January 6, 2021, has been problematized by the question of what to call the event: a riot, an insurrection, an assault, a protest, an attempted coup, a terrorist act. But thinking about it as a zombie attack seems largely justified by the evidence, leading to the question of what it could possibly mean – how it could possibly be – that zombies have managed to burst out of their imaginational confines and to storm our reality
Implementation of Cloud Storage in Blockchain Technology
No full textBlockchain technology has grown immensely throughout the past two decades and its benefit has been in clear display with its popular usage in bitcoin, with its safety
and transparency. But as the usage of blockchain technology grows each day, the drawbacks of this technology are starting to show up. As a result, there are several
opportunities to examine this technology in greater depth in order to make it more secure and reliable
The Assessment of Historical Perspective Taking: A Proposed Study to Develop a Measurement Instrument
No full textHistorical perspective-taking is a term that describes the explicit skills developed by students through instruction in history classrooms with a focus on the ability to contextualize historical actors, events, and issues. The purpose of this non-experimental quantitative study is to develop a new measurement instrument in order to study high school students’ HPT skills. The Assessment of Historical Perspective-Taking (AHPT) instrument will use a cross sectional survey approach to assess of students’ HPT skills in a U S context. The practical goal of this research is to develop an instrument to measure students’ HPT skills and support history educators’ ability to assess historical perspective taking skills in a school setting in a U.S. history context; aligned with curricular and instructional procedures employed in schools in the United States. The instrument will measure historical perspective taking (HPT) skills through three associated sub-constructs
Evolution of Asteroid Orbits in a Restricted Three-Body Simulation
Full text linkWe study the evolution of asteroid orbits in a restricted three-body problem formulation in two dimensions, consisting of the Sun, the planet Jupiter and an unspecified asteroid of negligible mass. It was discovered by Kirkwood [l] that the distribution of asteroid orbits contains gaps for orbits whose period is commensurate with that of Jupiter. Detailed computations in three-dimensional, many-body formulations found that test bodies initially placed in a forbidden orbit did not develop large eccentricities or leave the gap even after the passage of 10 5 years [2]. While previous two-dimensional, three-body simulations, an extension of earlier work [3], showed significant departure of asteroids placed in forbidden orbits in fewer than 10 revolutions, our present work shows such orbits to be stable for at least 25,000 years. The results suggest two things: One, the two-dimensional, three-body, reduced problem (modeled in figure 3) is consistent with more detailed three-dimensional, many-body models, contrary to previous work. Secondly, the numerical integrations of the coupled equations of motion for Jupiter and the asteroid are highly sensitive to the precision in the method of computation. The demand for precise calculations for accurate predictions brings forth a problem of time complexity. With the resources available, simulations longer than 25,000 years were not practically possible
Multi-Disciplinary Design of a Modular Controlled Hydroponic System
Full text linkA hydroponic growing technique utilizes water with nutrition instead of soil to conserve resources as well as increase crop yield. The plant roots are fully submerged into rich nutrition flow, and the constant light supply will allow them to grow faster. The indoor hydroponic system had seen a large growth in the market lately due to the pandemic. The need for self-growing vegetables, as well as a more environmentally-friendly agricultural technique, is pushing technological advancement in hydroponic methods. One of the biggest obstacles for the consumer in investing in this type of system would be cost and maintainability. This prototype aimed to bring the cost of a fully modular hydroponic control system down, while still maintaining the same capabilit
Hybrid CNN-SVM Classifier Framework for Driver Emotion Detection System
No full textMany studies have proved that the driver’s emotions are the significant factors that manage the driver’s behavior, leading to severe vehicle collisions. The ADAS systems can assist various functions for proper driving and estimate drivers’ capability of stable driving behavior and road safety. Therefore, continuous monitoring of drivers’ emotions can help predict their behavior to avoid accidents. A novel hybrid network architecture using a deep neural network and support vector machine has been developed to predict between six and seven driver’s emotions in different poses, occlusions, and illumination conditions to achieve this goal. Our proposed model achieved better performance accuracy of 84.41%, 95.05%, 98.57%, and 98.64% for FER 2013, CK+, KDEF, and KMU-FED datasets, respectively
Blockchain: Scalability challenge
Full text linkMany online transactions between individuals or organizations are based on a centralized controlled system (or controlled by a third-party organization). For example, a bank or a credit card vendor is acting as a third-party entity in executing a digital payment or money transfer process between two organizations (or individuals). The third-party vendor takes a fee for every successful transaction. In this centralized mechanism, the third-party controls and manages almost all the information of the stakeholders that are involved in the online transaction. This approach requires the third-party to uphold the transaction’s security. In contrast, blockchain is an immutable distributed ledger of cryptographically signed transactions maintained by a peer-to-peer network, where no third-party is required to manage the information, and trust is no longer an issue among the network participants. Blockchain technology is one of the most hyped decentralized innovations, with an enlightening future
A Decentralized Training Model for Machine Learning using Blockchain
No full textBlockchain technology offers a high degree of transparency, trust, availability, and security, which is playing an important role in industry applications like automotive, financial services, health care, energy, supply chain and many more. Similarly, AI is also playing a major role in industry, processing and analyzing huge data sets. There exists an opportunity to leverage the decentralized computational power of trainers/miners within a blockchain ecosystem to vastly reduce the resources necessary for machine learning workloads. Additionally, there exists a further blockchain-based opportunity to publicly share machine learning models in a way that increases accessibility, retains authorship, and provides unique opportunities for AI-based mashups