incentive mechanism based on pricing strategy for crowdsensing platforms. All the platforms want to attract the task originator to use their services in order to make higher profit. A sensing task originator accomplishes its sensing data collection work by publishing them on crowdsensing platforms. Nowadays, the exponential growth of smartphones creates a potential paradigm of mobile crowdsensing. To optimize the performance of estimation participants, organizations are encouraged to monitor their abilities and arrange their workload accordingly, provide suitable support and assistance, and help staff formulate a long-term career development plan.
Other results show a separate and direct impact of the three types of commitment on different kinds of estimation performance: (1) affective commitment reduces ineffective working process (2) continuance commitment exerts positive impact on organizational nonbelongingness and (3) career commitment improves estimation accuracy. The results indicate the impact of stress on both commitment and performance: (1) objective stress influences career commitment via an inverted U-shaped relationship (2) subjective stress is linearly related to both career and continuance commitment and (3) subjective stress also directly influences ineffective working processes through a U-shaped relationship. A reliability test, correlation analyses, and regression modeling were applied to analyze the data collected from 101 construction estimation participants. This study sets out to investigate the complicated relationships between stress, commitment, and performance for construction estimation participants through a questionnaire survey. Such a stressful environment influences estimation participants' perceptions of the project and organization, which ultimately. However, these participants must always work to rigid and urgent deadlines, putting them in stressful situations. Whatever created this file did not create a valid GPX file.Cost-estimation participants play an essential role in the success of construction projects, as well as determining the profit margin of an organization. GPSBabel is a conversion utility, not a file recovery program to unscramble things. A large part of GPSVisualizer is a front-end to GPSBabel. This also doesn't appear to be actually geocaching related. This file kind of resembles GPX, but it needs reconstructive surgery to make it something valid and useful.
There are trkpts that have escaped their trksegs with totally absent trk tags. GPSBabel will (mostly) "fix" the order of the inner tags when it writes it, but the file has to be at least kind of valid to start with. GPSBabel will let you get away with an otherwise valid block before the block, but it's not actually valid GPX if you do. Those tags actually have meaning and the order usually counts. (I am and the file does not "look fine".) You can't just signal the end of the gpx document and then have dangling rtepts that aren't part of an rte that aren't part of a gpx and such. "Looking fine" isn't the same as being fine unless you're actually familiar with the GPX specification. By the time it got to character #40 in the 25'th line, it abandoned hope and baked you an error message cake.įinish : 10:40:2338.5 Miles0 Mph0.0106.300 There's a closing GPX tag at line 24 but there's gibberish following that.
Your GPX file is nonsensical, jumping the rails starting at line #25. GPSBabel (one word) told you exactly what the problem is.
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