121 research outputs found
Greedy Permutations and Finite Voronoi Diagrams (Media Exposition)
No full textWe illustrate the computation of a greedy permutation using finite Voronoi diagrams. We describe the neighbor graph, which is a sparse graph data structure that facilitates efficient point location to insert a new Voronoi cell. This data structure is not dependent on a Euclidean metric space. The greedy permutation is computed in O(nlog Δ) time for low-dimensional data using this method [Sariel Har-Peled and Manor Mendel, 2006; Donald R. Sheehy, 2020]
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Texas Design Journal, Volume 1
No full textTable of Contents: ABOUT -- The Team / p. 01 -- Editors' Note / p. 03 -- IMMERSE -- Food Insecurity Among College Students / by Rohit Dinesh (p. 05) -- User Personas in Design Thinking / by Sean Feng (p. 08) -- Implication of NFTs on the Art Community / by Parth Ghawghawe (p. 11) -- Humanitarian AI and Vulnerable Populations / by Devina Parihar (p. 13) -- Making Sense of Chaos / by Eshna Parikh (p. 16) -- Student Experiences in Design / by Tanvi Shah (p. 20) -- Instructional Design / by Riya Solanki (p. 24) -- IDEATE -- Imagining the World of Engineering in Color / by Wis Escher (p. 28) -- Light the Way / by Ivy Lee (p. 30) -- Inclusive Multimodal Design / by Amy Li (p. 32) -- Austin Bus System Prototyping / by Corey Li (p. 34) -- Rethinking the Study Space Experience / by Neil Potnis (p. 36) -- PRODUCT ANALYSIS -- Understanding XR / by Celine Low (p. 42) -- Microtransactions in Gaming / by Bruce Luo (p. 44) -- Agile Development / by Ranjan Veludandi (p. 47) -- Robinhood: An Unworthy King / by Roger Zhong (p. 50) -- REFERENCES p. 53Undergraduate Studie
MMU: 01/14/19–01/20/19
No full textMMU January14 - 20 Stanford Professor Marcus Cole Appointed Dean of Notre Dame Law School Welcome Our New Registrar Jenny Fox! RSVP: A Conversation with Nina Totenberg Mass Schedule Announcement - Weekly Bible Study Legal Writing Center Invitation To All NDLS Student Groups Health & Wellness Information This Week @ NDLS Song of the Week Meme of the Week 1L of the Week: Parth Parikh 3L of the Week & Announcing Kesh\u27s Korner : Harkesh Patel Long Reads of the Wee
Centrifugal forming and mechanical properties of silicone-based elastomers for soft robotic actuators
No full textThis thesis describes the centrifugal forming and resulting mechanical properties of silicone-based elastomers for the manufacture of soft robotic actuators. This process is effective at removing bubbles that get entrapped within 3D-printed, enclosed molds. Conventional methods for rapid prototyping of soft robotic actuators to remove entrapped bubbles typically involve degassing under vacuum, with open-faced molds that limit the layout of formed parts to raised 2D geometries. As the functionality and complexity of soft robots increase, there is a need to mold complete 3D structures with controlled thicknesses or curvatures on multiples surfaces. In addition, characterization of the mechanical properties of common elastomers for these soft robots has lagged the development of new designs. As such, relationships between resulting material properties and processing parameters are virtually non-existent. One of the goals of this thesis is to provide guidelines and physical insights to relate the design, processing conditions, and resulting properties of soft robotic components to each other. Centrifugal forming with accelerations on the order of 100 g’s is capable of forming bubble-free, true 3D components for soft robotic actuators, and resulting demonstrations in this work include an aquatic locomotor, soft gripper, and an actuator that straightens when pressurized. Finally, this work shows that the measured mechanical properties of 3D geometries fabricated within enclosed molds through centrifugal forming possess comparable mechanical properties to vacuumed materials formed from open-faced molds with raised 2D features.M.S.Includes bibliographical referencesby Parth Kulkarn
Bio-Feedback Device for Meditation
No full textIn today’s fast-paced lifestyle people have a lot of stress. However, it is very hard to notice and even harder to reduce stress in a stressful environment. A clinical inspection may be required to measure the stress accurately. Meditation is widely used as an exercise to feel more relaxed. The aim of this project is to develop a framework that manipulates data from multiple sensors to calculate the stress level. The measured stress level could be given as a Bio-Feedback which indicates the effectiveness of meditation. A machine learning algorithm is used to process the data. As the data points are extremely important for a machine learning algorithm to work effectively, it requires a robust, scalable, and flexible framework for data management. This objective is achieved by virtually connecting the wearable device to a cloud service. This connection is made possible by a mobile application which serves as a human-computer interface. Data from various sensors are collected in the wearable device, through Bluetooth Low Energy (BLE) interface. These data are then sent to the mobile application which passes them to a cloud service. The cloud service provides not only a proper means of storage for the data but also acts as a central control for the whole system. Apart from this production-oriented implementation, a research-oriented implementation was also developed for prototyping an Application Specific Integrated Circuit (ASIC).Includes bibliographical references (pages 18-18)California State University, Northridge. Department of Electrical and Computer Engineering
Post-Operative Proximal Optic Nerve Diffusion Restriction: Optic Neuropathy or Central Retinal Artery Occlusion?
No full textCentral retinal artery occlusion (CRAO) is a neurovascular emergency and acute monocular visual loss should trigger a stroke code activation. As thrombolytic therapy is considered for non-arteritic CRAO in the stroke therapeutic window, we aimed to review all telestroke encounters for acute visual loss in Mayo Clinic national telestroke network, focusing on the ocular diagnosis and the management recommendations
Characterization and optimization of UAV power system for aerial and submersible multi-medium multirotor vehicle
No full textEven as an emerging technology, Unmanned Aerial Vehicles (UAVs) have had a tremendous impact on the world. From the way wars are fought, to the way we take selfies, drones are well on their way to revolutionizing our daily lives. One of the most innovative applications of these vehicles in the Naviator submersible-UAV. This unique multirotor is capable of aerial flight and underwater operations with seamless Air-Water transitions. In this thesis, the power system of a multirotor UAS is characterized using standard performance models with the goal of designing and optimizing the systems of a new Naviator V5 prototype. Test beds were created to collect data on BLDC motors and propellers and their performance was assessed in air and water. Theoretical models using BEM theory and the 3-constant motor model were validated for their accuracy. Experiments found that RC air propellers are similarly efficient in air and water and BLDC motor performance is partially diminished due to the higher viscosity of water. The effects of input voltage, throttle, Kv rating, and motor size were also evaluated using motor torque curves. Using this data, an optimal power system for the Naviator V5 prototype was designed, tested, and evaluated.M.S.T.Includes bibliographical referencesby Parth V. Son
Reversing The Twenty Questions Game
No full textTwenty questions is a widely popular verbal game. In recent years, many
computerized versions of this game have been developed in which a user thinks
of an entity and a computer attempts to guess this entity by asking a series of
boolean-type (yes/no) questions. In this research, we aim to reverse this game
by making the computer choose an entity at random. The human aims to guess this
entity by quizzing the computer with natural language queries which the
computer will then attempt to parse using a boolean question answering model.
The game ends when the human is successfully able to guess the entity of the
computer's choice.Comment: 14 pages, 9 figures, 2 tables, This paper is a graduate course
project for North Carolina State University, written for the Natural Language
Processing class in Fall 2021. The paper was submitted to and graded by Dr.
Munindar P. Sing
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