250 research outputs found

    Feasibility of Software-Based Duty Cycling of GPS for Trajectory-Based Services

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    Energy-efficient localization is increasingly important for many types of smartphone apps. The research community has argued that fixed duty cycling of GPS is not a good choice for trajectory-based services concerning route accuracy. In this paper, we describe the design and implementation of a highly accurate map matching and path construction algorithm. Furthermore, with thorough field experiments, we show that fixed duty cycling of a smartphone GPS receiver is a feasible approach for trajectory-based services, and it can achieve considerable energy conservation without sacrificing much route accuracy. When increasing the GPS sampling period beyond 120 seconds, it saves at least 78% energy in comparison to continuous GPS sampling, while the loss of route accuracy tends to be stable around 23%.Li, Xiaohan, Yuan, Fengpeng, & Lindqvist, Janne. (2016). Feasibility of Software-Based Duty Cycling of GPS for Trajectory-Based Services. In Proceedings of Consumer Communications & Networking Conference (CCNC2016-EdgeCom), Las Vegas, NV. http://ieeexplore.ieee.org/xpl/conhome.jsp?reload=true&punumber=1001153Peer reviewe

    The golden touch: how screen touches influence product attitude and purchase intention

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    The widespread usage of touch screen devices such as smartphones and tablets has changed how people interact with mediated information. The physical action of touch is more direct in that people interact with the information on the screen, rather than indirectly via input devices like a mouse or trackpad. The goal of this study is to examine whether different ways of physically interacting with media influence consumers’ attitude and purchase intention in online shopping, and how congruity between the touch feeling of specific products and touchscreens may moderate this effect of interaction. Participants viewed pictures of products which had either congruent or incongruent haptic feeling with an iPad screen by directly touching the screen or indirectly using a mouse, and then indicated their attitude, purchase intention and valuation toward these products. The results showed that consumers assigned more value when product information was acquired by touching. However, the main effect of physical interaction on attitude and purchase intention, and interaction effect between interaction and haptic congruity were not found.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-05-01The student, Xiaohan Hu, accepted the attached license on 2016-04-27 at 12:36.The student, Xiaohan Hu, submitted this Thesis for approval on 2016-04-27 at 12:48.This Thesis was approved for publication on 2016-04-28 at 13:32.DSpace SAF Submission Ingestion Package generated from Vireo submission #9546 on 2016-07-07 at 13:51:02Made available in DSpace on 2016-07-07T20:35:22Z (GMT). No. of bitstreams: 2 HU-THESIS-2016.pdf: 904799 bytes, checksum: bcb59579e61cbce65700b548c6e4585d (MD5) LICENSE.txt: 4207 bytes, checksum: 9beb58dbb11bb953f6ebdfc0a1513e7b (MD5) Previous issue date: 2016-04-28Embargo set by: Seth Robbins for item 93194 Lift date: 2018-07-07T20:35:34Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 93194 on 2018-07-08T09:15:30Z

    Feasibility of duty cycling GPS receiver for trajectory-based services

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    Energy efficient localization is important for lots of smartphone applications. The research community has argued that fixed duty cycling of GPS is not a good choice for trajectory-based services concerning route accuracy. In this note, we show that duty cycling of a smartphone GPS receiver achieves considerable energy efficiency without sacrificing much route accuracy. When increasing sampling period to 120 seconds, it saves at least 78% energy in comparison to continuous GPS sampling, while the loss of route accuracy tends to be stable at 0.23 to 0.25.M.S.Includes bibliographical referencesIncludes vitaby Xiaohan L

    Mining author relationship in scholarly networks based on tripartite citation analysis.

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    Following scholars in Scientometrics as examples, we develop five author relationship networks, namely, co-authorship, author co-citation (AC), author bibliographic coupling (ABC), author direct citation (ADC), and author keyword coupling (AKC). The time frame of data sets is divided into two periods: before 2011 (i.e., T1) and after 2011 (i.e., T2). Through quadratic assignment procedure analysis, we found that some authors have ABC or AC relationships (i.e., potential communication relationship, PCR) but do not have actual collaborations or direct citations (i.e., actual communication relationship, ACR) among them. In addition, we noticed that PCR and AKC are highly correlated and that the old PCR and the new ACR are correlated and consistent. Such facts indicate that PCR tends to produce academic exchanges based on similar themes, and ABC bears more advantages in predicting potential relations. Based on tripartite citation analysis, including AC, ABC, and ADC, we also present an author-relation mining process. Such process can be used to detect deep and potential author relationships. We analyze the prediction capacity by comparing between the T1 and T2 periods, which demonstrate that relation mining can be complementary in identifying authors based on similar themes and discovering more potential collaborations and academic communities

    The Economic Impacts of Geopolitical Risk

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    The purpose of this dissertation is to investigate the impact of the geopolitical risk shocks on the economy. The first chapter of this dissertation investigates how the geopolitical risk could affect macroeconomic variables of the United States. The second chapter studies the impact of the geopolitical risk on the aggregate and sectoral US employment. The third chapter studies the impact of geopolitical risk with various uncertainty proxies on the US economy.Embargo status: Restricted until 06/2173. To request the author grant access, click on the PDF link to the left

    Long-Term Labor Market Outcomes of Median-Onset Major Depressive Illness

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    Using the data from 5,929 individuals, men and women, Black, Hispanic and other, the author analyzed the effect of depression as measured by the CES-D 7-item Depression Inventory on employment for the twenty years following the depression measurement and income after the twenty-year time lag. Demographic features including age, sex, race, marital status, highest grade completed and urban or rural residence were taken into account. The author found that depression scores were a significant predictor of lower employment and income after twenty years

    Soliton Comb Generation from a Fabry-Perot Microresonator

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    We demonstrate a Kerr soliton comb generation from a high-quality-factor fiber Fabry-Perot microresonator. Single soliton can be achieved, with narrow beatnote linewidth and near-quantum-noise-limited low phase noise. (c) 2020 The Author(s

    Advancing the Kinetics Model in OpenSim for Human Motion Estimation Based on IMUs: Performance Analysis with Wheelchair User Motion

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    Inertial Measurement Units (IMUs) have become increasingly popular human motion estimation due to their portability, self-contained features, and cost-effectiveness compared to marker-based sensing systems which rely on external cameras to observe the position of the markers. Over the years, many studies have proposed various models and algorithms based on IMUs and the kinematics of the human body for motion estimation, neglecting the fact that IMUs measure acceleration, which can be directly related to joint torque with known inertial parameters. In turn, by estimating joint torque and incorporating kinetics into the model, it becomes possible to address a long-standing problem in the field of biomechanics: the marker-based sensing system’s inability to provide a reliable estimation of kinetics due to the need for numerical differentiation. In a previous study, a kinetics model was proposed for estimating the motion but validated only on a robotic arm. In our study, we further explore the performance of using IMUs to estimate wheelchair user motion data based on Extended Kalman Filter (EKF) and the kinetics model, with marker-based Inverse Kinematics (IK)/Inverse Dynamics (ID) as the benchmark.Compared to Marker-based IK, the method leveraging kinetics achieves a Root Mean Squared Difference (RMSD) below 16◦ for three out of four tasks across all joints throughout the trial. After analyzing the only task with degradation in estimation, we conclude that the erroneous IMUs measurements results from Soft Tissue Artefacts (STA) is the most likely reason. For joint torque estimation, the RMSD for joint torque estimation is below 3.05Nm for the tasks less affected STA. Through fine-tuning the EKF, we can achieve fast and responsive estimation results without being affected by numerical differentiation, enabling us to capture both sudden and subtle changes in joint torque estimation. The kinetics model performs better than the kinematics-based model in estimating both kinematics and kinetics and also reduced drifting behavior. Compared to OpenSense, which depends on magnetometer measurements, kinetics model estimation shows comparable kinematics estimation accuracy while excludingthe use of heading information. The results show that including the kinetics model for human motion estimation can improve estimation accuracy and robustness encouraging further studies to include kinetics for human motion estimation.Mechanical Engineering | Systems and Contro

    “Amerika Natie” Logistics study center complex

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    This report recorded the process of the research and design. From the site response to program choice, and some critical proplems during the design process. A great number of diagrams introduce the logic of design, and some drawings and renders express the quality of spatial and material design.Architecture, Urbanism and Building Sciences | Building Technology | Sustainable Desig

    Exploring the Relationships of Language Pattern, Math Anxiety, Self-esteem, and Curiosity

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    Math Anxiety (MA) is some of the most notable mental health issues. The causes and development of MA are complex and inconclusive. This study highlighted that language patterns differ between people with high and low MA. Especially, the word categories positive emotion, insight, articles and linguistic dimensions. This study included two personality differences (self-esteem and curiosity) to better explore the inner world of people with high and low MA through their language patterns. Self-esteem and curiosity moderate the relationship between MA and people’s language patterns.Management of Technology (MoT
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