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Objective: The focus of this research is to evaluate the effects of design parameters including surface area, distance between and geometry of dry flexible electrodes on electrodermal activity (EDA) stimulus response detection. Methods: EDA is a result of the autonomic nervous system being stimulated, which causes sweat and changes the electrical characteristics of the skin. Standard silver/silver...
Programming novices usually find acquiring the ability to write programs challenging at first, however, they overcome this obstacle as they encounter more opportunities in the learning process. Providing learners with distributed practices and the ability to self-assess their programming knowledge is key to measure their development and guide them towards programming proficiency. In this work, we...
In this work, we simulate and analyse the peak emission wavelength and full-width-at-half-maximum (FWHM) parameters of nano emitters using four-color mixing approach to provide a tetragonal area as large as possible in CIE-1931, reaching over 160% NTSC area using emitters having 30nm FWHM.
The quality control of cherries harvested in the orchard is a process of great relevance for the Chilean export industry. Nowadays companies carry out this process manually, obtaining a high error rate in the measurements of color and caliber of the fruits. This article seeks to develop a system to automate this process and thus reduce measurement failures. For this, an information system was implemented...
The article deals with the application of remote sensing of agricultural plantations for assessment of their nitrogen fertilizer provision. The basic technologies of remote sensing used today, their advantages and disadvantages are described. A new calibration method for images obtained from sensors placed on the platform of UAV in unstable illumination based on EXIFF data file, such as size Light...
This research proposes the multispectral image retrieval method by using spectral feature and semantic computing which is not many studies have focused. The main contributions are to enhance the effectiveness and advantageous of global environmental analysis system and realize semantic associative search and analysis. In this work, we study multispectral image retrieval using spectral feature computed...
This paper presents an automated computer vision system of shape defect detection for product quality inspection and monitoring system. Soft drink bottle is used as a tested product for the proposed system. The analysis framework includes data collection, pre-processing, morphological operation, feature extraction, and classification. Morphological operation technique is used to segment the image...
The area of artificial vision and robotics has very important advances in the recognition and tracking of objects, not only in indoor scenes but also in outdoor ones. These methods and algorithms have given rise to very important technological advances in different areas of knowledge. In the area of Precision Agriculture, the main problem of its use lies in its application in field surveys, whereas...
Powerpoint slides have become one of the essential teaching tools in academic for both offline and online modes. It may play a useful role to facilitate discussion and information exchange. However, in our teaching experience, we find many students utilizing Powerpoint slides beyond their traditional functions. Many students fully rely on the slides as the main learning materials and, in some cases,...
Plume opacity monitoring is important activity in management of air emission quality from stationary sources. This paper develops an imaging based method for plume monitoring. The image is acquired by using digital camera equipped with tele lens. Data collecting of plume opacity monitoring was conducted on a textile industrial estate in Bandung under ideal conditions where the horizontal distance...
Monitoring phenology of agricultural plants is a critical understanding in precision agriculture. Vital improvements can be achieved with precise detection of phenological change of plants which would henceforth improve the timing for the harvest, pest control, yield prediction, farm monitoring, disaster warning etc. Many countries across the world have been developing initiatives to build national...
The paper presents Park Smart, a solution which aim is to solve the pain of finding a free parking space in public and private areas (e.g. cities, malls, etc.), and hence to optimize parking stalls allocation as well as to increase revenues for the companies which manage them. The proposed solution exploits cutting edge technologies such as IoT, Cloud Computing and Deep Learning.
Monitoring techniques are a key technology for examining conditions in various scenarios (e.g., structural and weather conditions and disasters). The appropriate extraction of the features of these scenarios from observation data is important in understanding them. This study proposes a monitoring technique that allows sound environments to be expressed as a sound pattern. To this end, the concept...
In this paper, a bilateral aerial teleoperation system based on force feedback is proposed for monitoring and detecting the forest fires. First of all, an aerial teleoperation system is proposed to enforce the velocity synchronization of the master and the slave. Velocity synchronization is required to achieve motion tracking of the master and slave vehicles. A force reflection is provided to the...
Comprehensive crime data sets, which contain multidimensional numeric attributes, have been collected over time. To understand the pattern and trend of such attributes, this paper presents an interactive system using visual analytics approach to explore the crime data of Fuzhou, China in 2011. Specifically, users could analyze multidimensional data simultaneously in various views and be able to discover...
Various studies have been conducted in the field of the development/deterioration of standing and walking ability. In standing and walking control strategy, the relationship linking visual/somatosensory/vestibular-system information and physical movement is important. Researchers have previously sought to evaluate attitude control based on human sensory information. The authors have also reported...
This paper presents a detection method for speed bumps using Gaussian mixture model. The model based on stripe pattern of speed bump is applied to segment it from road and various environmental backgrounds. Morphological closing operation is then performed as a post-processing to complete speed bump area. In the experiments, both day and night conditions are tested. The experimental results show that...
Lung rehabilitation can be done by using different measuring and monitoring tools to recover patient from lung collapse. However, the patients can feel uncomfortable or get infected from using these tools. This paper present lung volume monitoring using flow-oriented incentive spirometer with video processing. According to the result, the proposed method can be used for lung rehabilitation monitoring...
In this paper, an innovative transformer load monitoring system by utilizing smart meter data has been designed to determine the daily power profile of distribution transformers. A two-stage load estimator algorithm that combines customer load pattern from smart meters and state estimation (SE) theory is developed to provide the secondary output power of distribution transformers in the low voltage...
In this paper, we propose a non-overlapping multi-camera object tracking method, which contains two methods, the color correction for multi-camera and the topology of the camera. The color correction for multi-camera can reduce the effect of chromatic aberration and different light source between the cameras. The topology of the camera can improve the efficiency and accuracy of object identification...
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