This paper presents the development of IP-Cores to integrate the Terasic DC2 Camera and LCM (LCD Module) daughter boards into an Altera Nios System, so that the image can be further processed by embedded software or c...
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Robot audition, encompassing Sound Source Localization (SSL), Sound Source Separation (SSS), and Automatic Speech Recognition (ASR), enables robots and smart devices to acquire auditory capabilities similar to human h...
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Artificial intelligence (AI) technology and systems have been advancing rapidly. However, ensuring the reliability of these systems is crucial for fostering public confidence in their use. This necessitates the modeli...
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Bilevel optimization is a fundamental tool in hierarchical decision-making and has been widely applied to machine learning tasks such as hyperparameter tuning, meta-learning, and continual learning. While significant ...
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A number of techniques have been proposed for state-based testing. One well-known technique (criterion) is to traverse the graph representing the state machine and generate a so-called transition tree, in an attempt t...
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In industrial interdisciplinary projects where engineers of different sorts have to work together, a framework is necessary in order to support such an interdisciplinary development process. For example, the design in...
The objective of the work is to track the level of cotton dust in the textile sector. The IoT-enabled cotton dust monitoring system deploys three sensors: Sharp GP2Y1010AU0F; Shinyei PPD42NS; and Honeywell HPMA115S0-X...
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ISBN:
(数字)9798331512248
ISBN:
(纸本)9798331512255
The objective of the work is to track the level of cotton dust in the textile sector. The IoT-enabled cotton dust monitoring system deploys three sensors: Sharp GP2Y1010AU0F; Shinyei PPD42NS; and Honeywell HPMA115S0-XXX measuring the dust levels. The Optical dust sensor GP2Y1010AU0F has a threshold of 1 mg/mS, which is placed inside the mask and when that threshold is crossed, buzzer alerts the worker with the air contaminants. It measures inhaled cotton dust and sends data to IoT, real-time concentration height of dust into the mobile devices. Experimental results show that Sharp GP2Y1010AU0F sensor has achieved award for acquiring the highest mean dust concentration of 95.167 mg/mS with a standard deviation of 3.014 among the three sensors, while Honeywell HPMA115S0-XXX and Shinyei PPD42NS recorded a mean of 87.833 mg/mS and 77.500 mg/mS, respectively. The observed response times of the sensors as follows for GP2Y1010AU0F-8s, HPMA115S0-XXX-6s, and PPD42NS- 5s, recording the fastest response by Honeywell HPMA115S0-XXX. A comparative study in accuracy, precision and sensitivity, with a response time, shows the merits and demerits for each sensor. Results emphasize the effectiveness of the system proposed for monitoring in terms of airborne cotton dust exposure in improving safety in textile workplaces. A meta-analysis is performed with Bayesian framework using JASP software.
Usually, in a group decision context, the importance level, confidence degree and amount of knowledge are very different among individuals. So, when all the individuals have to reach agreement, is quite important to m...
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In this paper, we design and implement a firmware for portable PCR devices that is controlled by a smart phone. The firmware has the host-local structure in which the firmware receives operation commands from the smar...
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In this paper, we design and implement a firmware for portable PCR devices that is controlled by a smart phone. The firmware has the host-local structure in which the firmware receives operation commands from the smart phone and sends operation results to the smart phone through Bluetooth communication. The firmware is designed to accommodate unstable wireless communication of Bluetooth. We implement a low-cost small PCR device with the proposed firmware on microchip PIC18F4550, and verify that the implemented PCR device significantly reduces volume size of existing commercial PCR devices with a similar performance.
To improve these unscientific methods, I would like to design a system that automatically tells replacement time of engine oil by fuzzy algorithm. There are 'time series analysis' and 'cause and effect'...
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To improve these unscientific methods, I would like to design a system that automatically tells replacement time of engine oil by fuzzy algorithm. There are 'time series analysis' and 'cause and effect' analysis in quantitative method. Time series analysis is to forecast the value by choosing one variable with the basis of historical data. All methods of demanding forecasting belong to time series analysis. Cause and effect analysis is the method, which makes a model by the relation between past values of other variables and the particular variable when the variable is influenced by other variables. In the thesis to replace engine oil in optimum time and to be aware of right replacement time of engine oil automatically.
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