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Towards Implementing Machine Learning Models in Human Activity Recognition
Get PDFSmartphones play a crucial role in sensor-based human activity recognition (HAR) systems, allowing tracking and measuring human movement. These devices are equipped with sensors, including accelerometers, gyroscopes, and magnetometers, which collaborate to capture different aspects of movement and orientation. Utilizing the data gathered from these sensors, a smartphone\u27s IMU sensor can offer valuable insights into an individual\u27s motion, orientation, and spatial position. Consequently, this information becomes instrumental in recognizing and categorizing activities such as walking, running, cycling, or sitting. This work used various ML models, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), and Random Forest (RF), to detect human activities such as walking upstairs, walking downstairs, standing, and sitting. KNN and SVM achieved the highest accuracy at 95%
The role of individual and situational factors in the stressor-detachment model
Get PDFThe influx of remote and hybrid work arrangements has led researchers to explore whether recovery differs between remote and hybrid workers and how organizations can best facilitate worker recovery in these contexts. Using the stressor-detachment model as a theoretical framework, the present study investigated whether an individual’s work arrangement and levels of emotional stability influenced the relationship between workload and personal burnout via psychological detachment. Cross-sectional and time-lagged analyses using self-report data from 167 working individuals revealed that detachment fully mediated the workload-burnout relationship in the time-lagged sample; however, no support was found for the mediating effect of psychological detachment in the cross-sectional sample. Primary moderation hypotheses were not supported. Supplemental analyses found a significant interaction between workload and work segmentation in the cross-sectional sample, such that the workload-detachment relationship was positive for those in low segmentation work arrangements and negative for those in high segmentation work arrangements
City of devils
Get PDFThis thesis contains two parts: a craft paper on merging fantasy and mystery genres and the first fifty pages of an adult fantasy mystery novel. The craft paper explores different strategies authors use to navigate the tension between mystery and the supernatural, and it analyzes these strategies in three novels, Storm Front by Jim Butcher, Ninth House by Leigh Bardugo, and The 7 ½ Deaths of Evelynn Hardcastle by Stuart Turton, all of which are mystery-fantasy novels involving the supernatural. The novel pages in the thesis are from City of Devils, which follows Kassandra Thorpe, a private investigator who receives a deal from a devil at the moment of her death to stave off her passing into the afterlife until she can solve a mystery plaguing Earth, Heaven, and Hell. Kassandra races against her undead body and an expanding series of murders while grappling with good, evil, and shaken faith
The Burnout Assessment Tool: An Initial U.S. Validation Study
Get PDFDespite the long-standing history of studying burnout, it remains a prevalent concern, with nearly 6 out of 10 U.S. workers self-reporting at least moderate levels of burnout (Forbes, 2023). Burnout, as defined by Maslach and Leiter (2016), is a psychological syndrome that emerges as a prolonged response to chronic interpersonal stressors encountered in the workplace. The repercussions of burnout are far-reaching, impacting employee job satisfaction, organizational commitment, absenteeism rates, turnover intentions, and job performance (Edú-Valsania et al., 2022). The Maslach Burnout Inventory (MBI) has historically served as the gold standard for assessing burnout, being employed in a staggering 88% of all publications on the subject (Schaufeli et al., 2020). However, concerns have been raised regarding its suitability for accurately capturing the complex phenomenon of burnout. These concerns revolve around three major flaws in the MBI. Firstly, it was developed inductively, derived from interviews with human service professionals rather than being grounded in a comprehensive conceptual framework. Secondly, the MBI exhibits technical and psychometric weaknesses that have raised doubts about its reliability and validity. Lastly, the absence of clear cut-off scores in the MBI manual complicates the determination of when a score signifies burnout (Schaufeli & De Witte, 2023). In response to these concerns, researchers have developed a new burnout assessment tool called the Burnout Assessment Tool using Flemish and Dutch working population samples (BAT; Schaufeli et al., 2020a, 2020b). The BAT seeks to address the limitations of the MBI and has been validated in countries overseas (e.g., Poland, Sweden, Brazil, Portugal). However, there is a notable gap in research concerning its applicability, reliability, and validation in the context of U.S. workers. The present study aims to contribute to this field of research by providing evidence for the reliability and validity of the BAT in a sample of U.S. workers, as scant evidence is available thus far. A sample of U.S. participants completed online self-report surveys across two time points – September 2021 and May 2023. Our sample includes 170 part- and full-time employees (Mage = 46.5, 62.4% White, 56.5% female). Analyses are currently being conducted to establish the reliability and construct validity of this new burnout measure using a U.S. sample. Full results will be available in time for presentation if accepted
Office housework and individual work ethic: A correlational study
Get PDFThe following submission will be for a proposed research design. Housework has been operationally defined as “non-role-specific work that a) benefits the organization, b) does not directly benefit the worker in their work capacity, and c) is under appreciated and generally goes unrecognized” (Adams, 2018). Previous studies have investigated this work completed by employees, including trying to define/measure the construct, distinguishing it from organizational citizenship behaviors, and understanding how it relates to other important characteristics, such as values and personality (Adams, 2018; Mussleman, 2020, Bourque, 2023). Office housework tasks can be vast, such as planning office parties, having to take staff meeting notes, comforting other employee emotions, or maintaining an environment that is desirable to the organization (Adams, 2018). To add to the minimal existing research of office housework, this study will assess how these behaviors relate to the different dimensions of work ethic. Work ethic is defined as the commitment to hard work among employees (Miller et. al, 2002). Characteristics of work ethic include that its’s related to work activities, is learned, refers to attitudes/beliefs, and demonstrates motivation in one’s work (Miller et. al., 2002). Because the context of completing office housework tasks usually means going over specified job duties, understanding how one’s personal work ethic might relate to their office housework completion could help the overall understanding of office housework, and any important trends associated with it. The main research question that will be assessed includes if office housework relates to individual work ethic or not. Six hypotheses will also be included, concerning the relationship between specific work ethic dimensions with the 4 dimensions of office housework tasks. The proposed method of this research study would be to gather data from a crowdsource, Amazon’s MTurk. Paid participants will be sent a survey containing a measure of office housework, a measure of individual work ethic, and demographic questions. Correlational analyses will be used to indicate the strength of relationships between the different dimensions of office housework and work ethic. Expected results are that office housework and work ethic will be related, and that there will be varying relationships between the dimensions of each of these constructs. Implications of this study could include further understanding of the connection between contextual job performance and what could serve as a potential predictor of that performance. Relating to the purpose of this conference, findings from this study could help an organization understand what to base their selection decisions on. References: Adams, E. R. (2018). Operationalizing Office Housework: Definition, Examples, and Antecedents (Order No. 10841556). Available from ProQuest Dissertations & Theses Global. (2112305115). https://ezproxy.mtsu.edu/login?url=https://www.proquest.com/dissertations-theses/operationalizing-office-housework-definition/docview/2112305115/se-2 Bourque, A. L. (2023). Office Housework, the Big 5 Personality, and Work Values: A Correlational Study (Order No. 30575738). Available from ProQuest Dissertations & Theses Global. (2851656884). https://ezproxy.mtsu.edu/login?url=https://www.proquest.com/dissertations-theses/office-housework-big-5-personality-work-values/docview/2851656884/se-2 Miller, M. J., Woehr, D. J., & Hudspeth, N. (2002). The Meaning and Measurement of Work Ethic: Construction and Initial Validation of a Multidimensional Inventory. Journal of Vocational Behavior, 60(3), 451–489. https://doi-org.ezproxy.mtsu.edu/10.1006/jvbe.2001.1838 Mussleman, M. E. (2020). Is Office Housework an Organizational Citizenship Behavior?(Order No. 27832063). Available from ProQuest Dissertations & Theses Global. (2399164238). https://ezproxy.mtsu.edu/login?url=https://www.proquest.com/dissertations-theses/is-office-housework-organizational-citizenship/docview/2399164238/se-
Are psychology undergraduate students equipped to work in business and technology after graduation?
Get PDFIntroduction Psychology students are underemployed in their field after graduation, so one potential avenue is examining job opportunities less directly related to psychology. Business and technology are rapidly growing fields and many of the related occupations and careers have a bright outlook as defined by O*NET (National Center for O*NET Development, n.d.). As psychology is the fourth most popular major, there are opportunities for psychology graduates to contribute to other fields (National Center for Education Statistics, 2019). Determining the presence of gaps and overlaps between KSAs acquired through the psychology curriculum and those needed in business and technology will enhance students’ abilities to work in business and technology fields. Methods Our research will follow a similar methodology as laid out in Sterling et al. (2021), by using O*NET to filter jobs that fall into business and technology-related fields and job levels 3-5 to examine the KSAs needed for those jobs. Sterling et al.’s (2021) results already defined 41 KSAs from O*NET that psychology undergraduates have from their psychology curriculum. We will compare the psychology-related KSAs to those needed in business and technology jobs, where we can then find the overlap and gaps in KSAs that psychology students have. Expected Results Understanding if psychology students are missing specific KSAs from their undergraduate education would allow us to determine how they can better capitalize on job opportunities in business and technology. The KSAs required in the field of business and technology largely overlap with the KSAs psychology graduates possess, so identifying the gaps and overlap in KSAs needed in these jobs will allow psychology graduates to be better informed in the options they have after they graduate. Implications This information will reflect the existence of this gap in KSAs and prepare students for working in business and technology. The psychology curriculum may be adjusted to further develop the missing KSAs and better prepare psychology graduates to work in business and technology. This industry could benefit greatly from this increase in interest from psychology students with a variety of KSAs to be utilized. Identifying gaps between the undergraduate psychology curriculum and the KSAs needed to effectively work in the field of business and technology will allow psychology students to better position themselves for jobs post-graduation
The role of the Tennessee 4-H specialist as perceived by 4-H agents
Get PDFThe primary purpose of this study was to examine the perception of 4-H agents in terms of the role of the state level Extension 4-H specialist. The population included 225 county level 4-H agents employed by either University of Tennessee or Tennessee State University Extension. Data analyses for this study included an examination of demographic factors and 13 questions related to perception (quantitative) as well as three open ended questions (qualitative). Five research questions were examined to determine the perceived role of the 4-H specialists from the perspective of the current 4-H agents and identify what differences exist between role perceptions of the specialist and generational or demographic differences among the agents. The questions were: • Is there a difference between the perceptions of the role of the Extension 4-H specialist based on different ages of 4-H agents? • Is there a difference between the perceptions of the role of the Extension 4-H specialist based on different genders of 4-H agents? • Is there a difference between the perceptions of the role of the Extension 4-H specialist based on different years of experience of 4-H agents? • Is there a difference between the perceptions of the role of the Extension 4-H specialist based on different geographical locations of 4-H agents? • How do 4-H agents perceive that Extension 4-H Specialists are performing their duties? The quantitative results of this study, gleaned from research questions 1 – 4, concluded there was no significant difference in perception of the role of the 4-H specialist due to age, gender, years of experience, nor geographical location of the respondent. Additionally, the open-ended questions, which addressed research question five, provided mixed responses. Some respondents indicated that the Extension 4-H Specialists were performing their duties well. Other respondents provided feedback and methods for improvement
Probabilistic risk assessment of system-level radiation effects
Get PDFSystem-level radiation effects analysis is performed using a time-dependent Probabilistic Risk Assessment (PRA) methodology. Data-driven models for the expected behavior of radiation-sensitive parts are instanced in a system model for Fault Tree Analysis (FTA). The system model is then solved using Bayesian Networks and Monte Carlo simulation in various mission environments, which may be dynamic and time-dependent. The results provide useful metrics of system reliability through hazardous radiation environments, identifying which failure modes and mission phases pose the greatest risk. A case study examining the NASA SpaceCube v2.0 processor demonstrates the PRA methodology with a comparison of risk in the International Space Station (ISS) and Geostationary Orbit (GEO) environments. The resulting analysis validates certain design choices and identifies the parts and subsystems which contribute most to system risk
Development of a parametric model for the simulation of impact-vibration pile driving equipment
Get PDFAbstract: Impact-vibration pile driving equipment has been an important part of vibratory pile driving equipment since the early years of development. In the 1960\u27s the VNIIstroidormash institute in Moscow developed a series of impact-vibration hammers; however, the development of these hammers was stopped in favour of the diesel hammers. The emergence of the need to convert construction equipment to electric power due to environmental considerations reopens the possibility that these hammers may once again need to be considered to drive piles, as the original impact-vibration hammers (in common with their early vibratory counterparts) were powered using specialised electric motors. A model is first developed to simulate the mechanical working of these hammers, followed by comparison to actual designs. The results are generally in line with the original tests (to the extent the results are known) but variances are noted and discussed. Some suggestions for forward movement on the design of this equipment are set forth
An Assessment of Entropy-Based Data Reduction for SEI Within IoT Applications
Get PDFThe research community remains focused on addressing Internet of Things (IoT) security concerns due to its continued proliferation and use of weak or no encryption. Specific Emitter Identification (SEI) has been introduced to combat this security vulnerability. Recently, Deep Learning (DL) has been leveraged to accelerate SEI using the signals’ Time-Frequency (TF) representation. While TF representations improve DL-based SEI accuracy–over raw signal learning–these transforms generate large amounts of data that are computationally expensive to store and process by the DL network. This study investigates the use of entropy-based data reduction applied to “tiles” selected from the signals’ TF representations. Our results show that entropy-based data reduction lowers the average SEI performance by as little as 0.86% while compressing the memory and training time requirements by as much as 92.65% and 80.7%, respectively