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Computational awareness (CA) is proposed to give awareness capability to a machine. For implementing CA, a direct way is to simulate human awareness. Since tacit knowledge is an important component for human awareness, this work tries to give a brief introduction of the current research topics. First, several consensuses that have been achieved are identified. Then we identify three research topics,...
Recently, in the field of artificial intelligence (AI), special attention has been paid to deep neural networks (DNNs) because of remarkable performance in various pattern-recognition tasks, especially in visual classification problems. However, interesting differences as well have been pointed out between human vision and current DNNs arousing questions about the generality of DNN computer vision,...
Smart environment is a situation aware system for improving the quality of life. This kind of systems are extremely useful for solving or avoiding several issues. The issue we consider in this research is the care of elderly peoples living in their own homes. Usually, information needed for situation awareness is obtained from various devices such as video cameras and voice recorders. However, these...
In augmented reality (AR) systems, virtual objects, graphics or texts are added to the real scene to improve the person's perception. Virtual and real information must be aligned strictly in the combination of scenes. The key of augmented reality is 3D registration technology which is based on tracking the artificial marker in the scene effectively. Using linear programming theory, this paper presents...
We aim to sense the tilt of a cylindrical object, which refers to the angle between the central axis of a given cylindrical object and the direction of gravitational acceleration. Since only the pitch angle is sensed, it is a specific case of attitude estimation. In our previous work to accurate tilt sensing, a numerical scheme with three linear numerical models based on a physical model has been...
Self-awareness is a kind of ability of recognizing oneself as an individual being different from the environment and other individuals. This paper proposes negative correlation learning with self-awareness in order for each artificial neural network (ANN) in a committee machine to be self-aware in learning so that it could decide by itself to learn more or less. On one hand, when the learning would...
As the rolling machinery is the most important parts of mechanical systems, and the rolling components are playing a crucial role in mechanical transmission, so the fault diagnosis of rolling bearings are very important and valuable research object. During long time abrasion and harsh work conditions, the corrosion, crash, system fault, can easily lead the rolling components broken down, especially...
Since lane information is necessary for road security improvement in unmanned vehicle systems, the detection of the lane is an important task. Most existing approaches are particularly designed for specific road scenario (such as the highway, urban roads). However, the detection precision may be deteriorated if the lane markings are blurred and vestigial. Similarly, the reflection and smudges on the...
Compressed sensing MRI (CS-MRI) and compressed sensing sensitivity encoding (CS-SENSE) only include two regularization items, total variation (TV) and Wavelet, which leads to artifacts remaindering in 1-D random sampling. In order to improve the performance of them, a new regularization item-Contourlet is introduced to constrain the solution with the other two regularization items together. The solution...
Energy conservation is a future trend. We are using solar energy to produce thermal energy. Also, the system combined with fuzzy logic control mechanism, forms a set of fuzzy control for fermentation of chicken feces of solar hot water system. The system includes 3 parts, which are fermentor, control circuit and fuzzy controller. The core of fuzzy logic control core is Arduino Mage 2560. Control parameters...
During the recent decade, the tourism industries have evolved evidently and quickly, pushing the bar higher for managers attempting to gain a competitive advantage in this industries. This study applies a combined model that combines the ACF, neural networks, and genetic algorithms for forecasting the tourism demand. Analytical results obtained using the ACF are entered as the input information of...
As warnings of diseases are easily neglected by people, the golden treatment time is missed. Osteoporosis is one of the examples that its symptoms, e.g. knee and back pain, are usually overlooked. In this paper, we implement an osteoporosis prediction system based on text cloud mining analysis to recognize potential osteoporosis patients. The prediction system recognize a potential osteoporosis patient...
Face recognition is widely used in many computer vision applications such as surveillance, traffic monitoring, robot vision, access control and so on. However, some problems in face recognition still exist which the expression changes, head movements, accessory occlusion, light changes and aging effect are the main issues. For the aging effect, the shape and texture changes degrade the performance...
The key function of recommendation systems is to analyze social network data and identify similar users. In recent years, multi-criteria algorithms called skyline queries have been used in conjunction with neural networks to search for similar users. However, many skyline query methods are slow and cumbersome, and generate user groups that are not similar enough to the target user. To solve these...
This paper proposes a new multiple attribute group decision making (MAGDM) method based on the proposed interval-valued intuitionistic fuzzy averaging operators. The proposed multiple attribute group decision making method has the advantage that it can overcome the drawbacks of the existing methods for multiple attribute group decision making in interval-valued intuitionistic fuzzy environments.
Machine learning has become a powerful tool in real applications such as decision making, sentiment prediction and ontology engineering. In the form of learning strategies, machine learning can be specialized into two types: supervised learning and unsupervised learning. Classification is a special type of supervised learning task, which can also be referred to as categorical prediction. In other...
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