Faster R-CNN is an algorithm development that continuously starts from CNN then R-CNN and Faster R-CNN. The development of the algorithm is needed to test whether the heuristic algorithm has optimal provisions. Broadly speaking, faster R-CNN is included in algorithms that are able to solve neural network and machine learning problems to detect a moving object. One of the moving objects in the current phenomenon is the use of masks. Where various countries in the world have issued endemic orations after the Covid 19 pandemic occurred. Detection tool has been prepared that has been tested at the mandatory mask door, namely for mask users. In this paper, the role of the Faster R-CNN algorithm has been carried out to detect masks poured on Internet of Thinks (IoT) devices to automatically open doors for standard mask users. From the results received that testing on the detection of moving mask objects when used reaches 100% optimal at a distance of 0.5 to 1 meter and 95% at a distance of 1.5 to 2 meters so that the process of sending detection signals to IoT devices can be carried out at a distance of 1 meter at the position mask users to automatic doors.
The very high need for personal protective equipment (PPE) impacts the waste generated after using these tools. Therefore, to deal with mask waste during the COVID-19 pandemic, this study was carried out on the processing of mask waste using a thermal process and studied how the potential of this process was for the effectiveness of mask waste processing during the pandemic. This research was conducted on Honeymoon Beach by collecting data on mask waste generated during the pandemic, then measuring the waste proximate, ultimate, and calorific value and testing the thermal process using TGA and Piro GC-MS measurements. Most waste masks found on Honeymoon Beach are non-reusable masks, 94.74%, while reusable masks are 5.26%. The waste is then subjected to thermal processing and analysis using TGA and Piro GC-MS. Based on the data obtained, the thermal process can reduce the mass of non-reusable and reusable mask samples by 99.236% and 88.401%, respectively. The results of the Piro GC-MS analysis show that the lit mask waste will produce fragments of compounds that can be reused as fuel. The process is simple and easy and produces residues that can be reused to reduce environmental pollution due to waste generation during the COVID-19 pandemic.
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This article focuses on the development of the mask design knowledge base, which is expected to be applied in a personalized mask design system. To realize the proposed knowledge base, a perceptual descriptive space of the mask is first developed for the description of both functional and aesthetic perceptions of a mask. The mask ontology is also developed to form the mask element matrix. Mask design knowledge is expressed as the relationship between the perceptual descriptive space and the mask ontology, which is extracted by a group of experienced designers through a sensory evaluation procedure. This relationship is then simulated by fuzzy logic tools. The proposed knowledge base has been validated that it is reliable. The personalized mask design system can be further developed with the propose mask design knowledge base.
Voice controlled management systems are based on speech recognition techniques. The use of such systems in combat aircraft is complex due to a number of critical factors which affect the accuracy of speech recognition, such as high level of ambient noise and vibration, use of oxygen masks, serious psycho-physical stress of speakers, etc. One of the specificity of the oxygen mask application is overpressure breathing. The results of the simulations presented in this paper show that the presence of overpressure on the order of 1000 Pa in the vocal tract has a significant influence on the first two formant frequencies. The formants discrimination field is significantly reduced when oxygen mask is used, influencing both perceptive and automatic discrimination of spoken vowels.
This paper analyses the changes in transfer characteristics of the vocal tract when closed by a mask, i.e. a chamber. The analysis was performed in two ways: by analytical estimation and by measurements in the vocal tract physical model for the case of mask with inner volume V = 430 cm3, corresponding to the oxygen masks used in combat airplanes. It was shown that closing the vocal tract with a mask cavity increases the first formant frequency by about 10% in front and high vowels (/e/, /i/, and /u/) and the frequencies of the first two formants by about 5% in the remaining two vowels (/a/ and /o/). It was also revealed that longitudinal and transversal resonances in the mask chamber can lead to errors in the recognition of the vowel formant frequencies. The results point to the need for additional knowledge about resonances in mask application.
O bezpieczeństwie pracy w laboratorium mikrobiologicznym decyduje m.in. zastosowanie środków ochrony indywidualnej pracownika przed zagrożeniem. W artykule omówiono zasady właściwego doboru środków ochrony indywidualnej stosowanych podczas diagnostyki mikrobiologicznej.
EN
The safety work such as microbiological laboratory determined the use of personal protective equipment designed to protect workers against hazards. The article discusses the principles of proper personal protective equipment used during microbiological diagnostics.
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