scholarly journals AutoQual: task-oriented structural vibration sensing quality assessment leveraging co-located mobile sensing context

2021 ◽  
Author(s):  
Yue Zhang ◽  
Zhizhang Hu ◽  
Susu Xu ◽  
Shijia Pan
Keyword(s):  
Task Performance ◽  
Expert Knowledge ◽  
Vibration Signal ◽  
Absolute Error ◽  
Mobile Sensing ◽  
Learning Performance ◽  
Structural Vibration ◽  
Vibration Sensing ◽  
Assessment Approach ◽  
Task Oriented

AbstractIn this paper, we introduce AutoQual, a mobile-based assessment scheme for infrastructure sensing task performance prediction under new deployment environments. With the growth of the Internet-of-Things (IoT), many non-intrusive sensing systems have been explored for various indoor applications, such as structural vibration sensing. This indirect sensing approach’s learning performance is prone to deployment variance when signals propagate through the environment. As a result, current systems heavily rely on expert knowledge and manual assessment to achieve effective deployments and high sensing task performance. In order to mitigate this expert effort, we propose to systematically study factors that reflect deployment environment characteristics and methods to measure them autonomously. We present AutoQual that measures a series of assessment factors (AFs) reflecting how the deployment environment impacts the system performance. AutoQual outputs a task-oriented sensing quality (TSQ) score by integrating measured AFs trained from known deployments as a prediction of untested system’s performance. In addition, AutoQual achieves this assessment without manual effort by leveraging co-located mobile sensing context to extract structural vibration signal for processing automatically. We evaluate AutoQual by using it to predict untested systems’ performance over multiple sensing tasks. We conduct real-world experiments and investigate 48 deployments in 11 environments. AutoQual achieves less than 0.10 average absolute error when auto-assessing multiple tasks at untested deployments, which shows a $$\le 0.018$$ ≤ 0.018 absolute error difference compared to the manual assessment approach.

Effects of Group Dynamic Assessment on L2 Chinese learners’ literacy development: Learners’ responsiveness to interactive mediation

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Yu-Ting Kao
Keyword(s):  
Literacy Development ◽  
Dynamic Assessment ◽  
Learning Performance ◽  
Nonverbal Behaviors ◽  
Group Dynamic ◽  
Chinese Learners ◽  
L2 Chinese ◽  
Assessment Approach ◽  
Individual Participant ◽  
Rhetorical Structures

AbstractDynamic Assessment (DA), an innovative assessment approach, has begun to attract attention as a conceptualization of assessment that emphasizes the social interactive role of learning. Although DA receives attention in the field of language testing/assessment, its feasibility in engaging larger cohorts of individuals is concerned. This shortcoming of DA leads to the application of Group Dynamic Assessment (G-DA). This study examined the extent to which mediation provided through G-DA frameworks – concurrent and cumulative – supported a group of language learners’ literacy development. It investigates five intermediate L2 Chinese learners’ rhetorical awareness via their performance on Chinese reading and writing tasks. One Chinese rhetorical structures, the ‘Qi-cheng-zhuan-he’ approach, was selected because it is considered the most difficult learning point for Chinese learners. Findings were reported: 1) the mediation provided to the participants through both concurrent and cumulative G-DA approaches promoted their understanding of the ‘Qi-cheng-zhuan-he’ approach, 2) the more times a participant engaged as the primary interactant, the better learning outcome he/she would present, 3) individual participant had different developmental level and thus showed various extent of responsiveness to the teacher’s mediation; yet, their active participation, either verbal or nonverbal behaviors, would foster their learning performance. Pedagogical applications are discussed.

Research of Ni-Mn-Ga Shape Memory Alloy Based Mechanical Vibration Detection Device

2014 ◽  
Vol 1006-1007 ◽  
pp. 845-848
Author(s):  
Yong Zhi Cai
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Mechanical Vibration ◽  
Vibration Signal ◽  
Experimental Results ◽  
Vibration Measurements ◽  
Vibration Detection ◽  
Vibration Sensing

The study explores the vibration sensing effect of Ni-Mn-Ga shape memory alloy, based on the experimental results, researched the characteristics of this alloy applied in mechanical vibration signal sensors, and describes the feasibility of this alloy used for vibration measurements.

Narcissism personality trait and performance: task-oriented leadership and authoritarian styles as mediators

2020 ◽  
Vol 41 (2) ◽  
pp. 280-293
Author(s):  
Kiran Sakkar Sudha ◽  
M. Ghazi Shahnawaz
Keyword(s):  
Leadership Styles ◽  
Task Performance ◽  
Leadership Style ◽  
Personality Trait ◽  
Performance Task ◽  
Content Type ◽  
Authoritarian Leadership ◽  
And Performance ◽  
Measure Of Performance ◽  
Task Oriented

PurposeThe present study explored the direct as well as indirect relationships between narcissism personality trait and performance. Two leadership styles (task oriented and authoritarian styles) were identified as possible mediators.Design/methodology/approachNarcissism was measured by using Narcissistic Personality Inventory (Ames et al., 2006), performance was measured by performance scale (Greene-Shortridge, 2008). Sinha's leadership scale (Sinha, 2008) was used to measure task-oriented and authoritarian leadership styles. 273 senior-level managers of a big public sector Indian organization participated in the study. SPSS 22 and SmartPLS 2.0 were used to analyze the data.FindingsCorrelation result shows that narcissism personality trait was positively related to authoritarian leadership style and negatively to task-oriented leadership style, task performance and teamwork dimensions of performance. Task-oriented leadership style mediated the relationship between narcissism and task performance and teamwork more than the authoritarian leadership style.Originality/valueThe study attempts to empirically test the behavioral manifestation of narcissism personality trait as positive or negative and has considered the whole measure of performance which has not been previously explored. Practical implications were also highlighted beside the theoretical concerns.

scholarly journals PCA Forecast Averaging—Predicting Day-Ahead and Intraday Electricity Prices

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3530
Author(s):  
Katarzyna Maciejowska ◽  
Bartosz Uniejewski ◽  
Tomasz Serafin
Keyword(s):  
Predictive Accuracy ◽  
Expert Knowledge ◽  
Predictive Ability ◽  
Principal Component ◽  
Absolute Error ◽  
Electricity Prices ◽  
Short Term ◽  
White Test ◽  
The Mean ◽  
Short Term Forecasting

Recently, the development in combining point forecasts of electricity prices obtained with different length of calibration windows have provided an extremely efficient and simple tool for improving predictive accuracy. However, the proposed methods are strongly dependent on expert knowledge and may not be directly transferred from one to another model or market. Hence, we consider a novel extension and propose to use principal component analysis (PCA) to automate the procedure of averaging over a rich pool of predictions. We apply PCA to a panel of over 650 point forecasts obtained for different calibration windows length. The robustness of the approach is evaluated with three different forecasting tasks, i.e., forecasting day-ahead prices, forecasting intraday ID3 prices one day in advance, and finally very short term forecasting of ID3 prices (i.e., six hours before delivery). The empirical results are compared using the Mean Absolute Error measure and Giacomini and White test for conditional predictive ability (CPA). The results indicate that PCA averaging not only yields significantly more accurate forecasts than individual predictions but also outperforms other forecast averaging schemes.

Area Occupancy Counting Through Sparse Structural Vibration Sensing

2019 ◽  
Vol 18 (1) ◽  
pp. 28-37 ◽  
Author(s):  
Shijia Pan ◽  
Mostafa Mirshekari ◽  
Jonathon Fagert ◽  
Carlos Ruiz ◽  
Hae Young Noh ◽  
...  
Keyword(s):  
Structural Vibration ◽  
Vibration Sensing

Demonstration of structural vibration sensing in a deployed PON infrastructure

2019 ◽  
Author(s):  
I. Di Luch ◽  
M. Ferrario ◽  
P. Boffi ◽  
G. Rizzelli ◽  
Haoyi Wang ◽  
...  
Keyword(s):  
Structural Vibration ◽  
Vibration Sensing

Baseball Players’ Eye Movements and Higher Coincident-Timing Task Performance

2020 ◽  
Vol 127 (3) ◽  
pp. 571-586
Author(s):  
Ikumi Tochikura ◽  
Daisuke Sato ◽  
Daiki Imoto ◽  
Atsuo Nuruki ◽  
Koya Yamashiro ◽  
...  
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Eye Movements ◽  
Task Performance ◽  
Visual Information ◽  
Absolute Error ◽  
Visual Information Processing ◽  
Baseball Players ◽  
Mobile Targets ◽  
Timing Task

Previous studies have reported that baseball players have higher than average visual information processing abilities and outstanding motor control. The speed and position of the baseball and the batter are constantly changing, leading skilled players to acquire highly accurate visual information processing and decision-making. This study sought to clarify how movement of the eyes is associated with baseball players’ higher coincident-timing task performance. We recruited 15 right-handed baseball players and 15 age-matched track and field athletes. On a computer-based coincident-timing task, we instructed participants to stop a computer image of a moving target by pressing a button at a designated point. We presented bidirectional moving targets with various velocities, presented in a random order. The targets’ moving angular velocity varied between 100, 83, 71, 63, 56, 50, and 46 deg/s. We conducted 168 repetitions (42 reps × 4 sets) of this coincident-timing task and measured participants’ eye movements during the task using Pupil Centre Corneal Reflection. Mixed-design analysis of variance results revealed participant group effects in favor of baseball players for timing absolute error and low absolute error, as predicted from prior visual processing and decision-making research with baseball players. However, in contrast to prior research, we found significantly shorter smooth-pursuit onset latency in elite baseball players, and there were no significant group differences for saccade onset and offset latencies. This may be explained by the difference in our research paradigm with mobile targets randomly presented at various velocities from the left and right. Our data showed baseball players’ higher than normal simultaneous timing execution for making decisions and movements based on visual information, even under laboratory conditions with randomly moving mobile targets.

Denoising in Steel Structural Impulsive Vibration Signal Based on Independent Component Analysis

2011 ◽  
Vol 219-220 ◽  
pp. 1337-1341 ◽  
Author(s):  
Jun Hong Cao ◽  
Zhuo Bin Wei
Keyword(s):  
Independent Component Analysis ◽  
Steel Structure ◽  
Vibration Signal ◽  
Component Analysis ◽  
Independent Component ◽  
Structural Vibration ◽  
Vibration Signals ◽  
Structure Vibration

The analysis of structure vibration signals is influenced by noise mixed in the signals. Independent component analysis (ICA) method is introduced to denoise the vibration signals in this paper. The representative algorithms: FastICA and JADE are told in detail. The algorithms are applied to separate steel structural vibration signals. The denoising performances in impulsive vibration signals generated by steel structure demonstrate the effectiveness and good robustness of ICA method.

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