The Relationships among the Learning Transfer System, Managers’ Creative Learning Transfer, and Job Performance

To survive and thrive in the ever-changing global environment, organizations must constantly innovate and transform in the market by obtaining, applying, and creating new knowledge. In particular, given the importance of managers’ excellent leadership for organizational performance, organizations must find a way to enhance managers’ creative application of leadership knowledge to novel business situations (i.e., creative learning transfer). Over the past 110 years, research on learning transfer has proliferated because new knowledge and application of it to business must be at the heart of competitive advantages of an organization. Despite numerous empirical inquiries and advancement on learning transfer, there are still four major research gaps to be closed: (1) lack of a comprehensive instrument to measure predictors of creative learning transfer; (2) paucity of empirical research on learning transfer guided by sound theories; (3) ignorance of the importance of creative learning transfer in literature; and (4) little attention to a motivational factor as a mediator between transfer predictors and transfer outcomes. To fill the gaps, an overarching purpose of the present study was to examine the relationships among the learning transfer system, managers’ creative learning transfer, and job performance. The targeted population of the current study was managers who worked for large companies in South Korea and completed leadership training programs in the companies. Based on a non-experimental research design, an electronic 76-item survey was used to collect quantitative and qualitative data from 16 companies that agreed to participate in the current study. After data screening, the valid sample consisted of 753 managers from the companies, which may represent 16 industries in the country. To analyze the quantitative data, a series of exploratory and confirmatory factor analyses (EFA/CFA) was conducted, followed by structural equation modeling (SEM) analyses. For the qualitative data, a thematic analysis was conducted. Three major findings emerged from the current study. First, the Learning Transfer System Inventory (LTSI) Version 4 was successfully validated in an international context. Second, the nomological network among the learning transfer system, creative learning transfer, and job performance was confirmed. Third, seven themes of enablers and barriers for creative learning transfer were identified for use in the future research. HRD professionals may obtain critical implications from the current study to help organizational managers apply learned leadership knowledge and skills to novel business situations to create more competitive work systems, products, and/or services. The current study may serve as the bedrock on which researchers can theorize the concept of creative learning transfer, elaborating on organizational knowledge creation theory

Truck-based mobile wireless sensor networks for the experimental observation of vehicle–bridge interaction

Heavy vehicles driving over a bridge create a complex dynamic phenomenon known as vehicle–bridge interaction. In recent years, interest in vehicle–bridge interaction has grown because a deeper understanding of the phenomena can lead to improvements in bridge design methods while enhancing the accuracy of structural health monitoring techniques. The mobility of wireless sensors can be leveraged to directly monitor the dynamic coupling between the moving vehicle and the bridge. In this study, a mobile wireless sensor network is proposed for installation on a heavy truck to capture the vertical acceleration, horizontal acceleration and gyroscopic pitching of the truck as it crosses a bridge. The vehicle-based wireless monitoring system is designed to interact with a static, permanent wireless monitoring system installed on the bridge. Specifically, the mobile wireless sensors time-synchronize with the bridge's wireless sensors before transferring the vehicle response data. Vertical acceleration and gyroscopic pitching measurements of the vehicle are combined with bridge accelerations to create a time-synchronized vehicle–bridge response dataset. In addition to observing the vehicle vibrations, Kalman filtering is adopted to accurately track the vehicle position using the measured horizontal acceleration of the vehicle and positioning information derived from piezoelectric strip sensors installed on the bridge deck as part of the bridge monitoring system. Using the Geumdang Bridge (Korea), extensive field testing of the proposed vehicle–bridge wireless monitoring system is conducted. Experimental results verify the reliability of the wireless system and the accuracy of the vehicle positioning algorithm.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90810/1/0964-1726_20_6_065009.pd

Calculation of Response Characteristics of Various Hydrocarbon Gas Sensors

Technologies for detecting leaks of gases and measuring gaseous concentrations have been widely developed with every sensor type. To manufacture excellent gas leak detector, an excellent gas sensors are necessary parts. In this research, the design of a system to simultaneously measure performances of five gas sensors is introduced. That system need the components of measuring appliances, sensing circuits, control firmware, and PC software to be operated. Also the performances to test gas sensors need response characteristics, accuracy, and repeatability according to output signals for injecting gas amounts into gas sensors. The firmware is implemented to operate sensors and to acquire output data against for input of sensors in real time. Acquired data were stored in the text file according to every sensor during a pre-set measurement interval. Software is coded to draw graphs of the voltage values measured by each sensor in real time. Using proposed a testing system we showed how to test response characteristics and induce better calibration equations of five sensors. This paper compared experimental data of five sensors and verified which gas sensor is the best

A Standalone Vision Sensing System for Pseudodynamic Testing of Tuned Liquid Column Dampers

Experimental investigation of the tuned liquid column damper (TLCD) is a primal factory task prior to its installation at a site and is mainly undertaken by a pseudodynamic test. In this study, a noncontact standalone vision sensing system is developed to replace a series of the conventional sensors installed at the TLCD tested. The fast vision sensing system is based on binary pixel counting of the portion of images steamed in a pseudodynamic test and achieves near real-time measurements of wave height, lateral motion, and control force of the TLCD. The versatile measurements of the system are theoretically and experimentally evaluated through a wide range of lab scale dynamic tests