![]() ![]() The MicW i436 microphone is marketed as compliant with IEC-61672 class 2 sound level meter standard. ![]() For this study, we selected the same 4 iOS apps and examined their accuracy and performance using the MicW i436 and the Dayton Audio iMM-6 external microphones. Overall, 10 iOS apps met our selection criteria for occupational noise exposure measurements, and of those, only 4 iOS apps (SoundMeter, SPLnFFT, SPL Pro, and NoiSee) were within ☒ dB(A) of a reference microphone. In the initial study, we examined 192 apps on the Apple (iOS) and Google (Android) platforms. The National Institute for Occupational Safety and Health (NIOSH) conducted a follow-up study to examine the accuracy of smartphone sound measurement applications (apps) using external, calibrated, microphones. These results show that although PC-SRT gathers more data in a wider variety of aspects of the visual environment, users tended to perceive it as easier to use, encouraging the adoption of our proposed lighting measurement protocol for mobile devices. An item-by-item analysis compared the behaviour of each standardised item score Mann-Whitney test results showed statistically significant differences in SUS-Q1 (U = 36 p = 0.011), SUS-Q2 (U = 35 p = 0.01), SUS-Q4 (U = 46.5 p = 0.05), and SUS-Q7 (U = 39 p = 0.019). The PC-SRT also performed better in both ease of use and learnability factors. Descriptive statistics showed that PC-SRT (SUS = 58.7 SD = 14.9 lower marginally acceptable usability) outscored SRT-P (SUS=47.5 SD=14.5 unacceptable usability). We developed a lighting measurement protocol (PC-SRT) for Android mobile devices as a replacement of the Argentinean currently mandatory pen-and-paper measurement protocol (SRT-P), and compared their usability in a field study (n = 26) by means of the system usability scale (SUS). In the meantime, technologies are merging with environmental awareness, consumers are looking for ways to contribute to the relief of their own carbon footprints. In future, the automation of the device will play the most important role in world wide. This setup is completely controlled using smart phone. This work is motivated on preparation of the beneficial power basis for grass cutting process which is not reliant on the climates state and also prompt on its work. This application is connected to the Bluetooth communication for automatic the process. And then grass cutting motor on off control system will be achieved through android application. DC motor up and down motion is made using the rack and pinion gear setup. And this arrangement will be simple and highly efficient for grass height adjustment system with up/down process motor. Below the gear arrangement, the cutting blade is fixed. The components that are used to control the grass cutting level involve motor and gear arrangement. The cutting motor is employed to cut the grass in the field and the same is controlled by smartphone application. This work discussed the fabricated model of android based grass cutter in agricultural field by implementing the new innovative concept with simpler construction and easy working. ![]()
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