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Heart disease affects seriously to human health. ECG signal is critical information to help doctor with heart diagnose prediction. In previous studies on ECG classifier, state-of-art method use MIT dataset to evaluate prediction result and record a high accuracy. However, the dataset has a long tail phenomenon where the number of normal beats is cover 83,6% of all dataset whereas some diagnose beats...
In this paper, we propose a Kinect-based virtual training system for rehabilitation system. The system is aimed to assist patients after stroke or with spiral cord injuries who consequently have movement disorders to perform rehabilitation exercises at home. Movements of patients is capture and their skeletons are tracked by means of Kinect sensor. Patient's movements are then compared to the prerecorded...
To elevate the imperativeness and reinforce the fitness of elders, assisting a home care system can be an admittance that provides comprehensive nursing and monitoring them in the regular interim. In order to provide an interactive service management platform to the elders a smart environment of numerous sensors are clubbed together to establish an intuitive platform that can control the home appliances...
In this paper, the algorithms of combining channel estimation with CFO estimation are studied for mobile OFDM system. The comb-type pilot is used for channel estimation. There are some known algorithms for channel estimation such as LS (Least Square), Minimum Mean Square Error (MMSE), some adaptive estimators such as Kalman Filter, Extended Kalman Filter… To enhance performance, we modified the algorithm...
This paper proposes a new method for designing an observer-based controller for the polynomial system with the existence of the disturbances. A new form of the observer is proposed to estimate both unavailable state variables and disturbances simultaneously. In addition, in previous studies, the disturbances must be bounded, its derivation is equal to zero, or assume to be generated by an exogenous...
The paper presents a adaptive dynamic surface control method for a class of strict-feedback nonlinear system based on neural network. In the previous adaptive neural networks control proposed using backstepping, the number and complexity of intermediate variables increase as the increasing order of the system. This makes it difficult to achieve learning for the high-order strict-feedback systems due...
This work presents a hardware implementation of a RBF NN (Radial Basis Function Neural Network), then use this RBF NN to design a PI controller for PMSM (Permanent Magnet Synchronous Motor) drives. In this paper, firstly, the mathematical model of PMSM drives and the architecture of the RBF NN which consists of an input layer, a hidden layer of nonlinear processing neurons with Gaussian function and...
The thixoforming process is becoming more and more important in the field of metal-forming. In this process, the most difficult part is heating the sample while keeping the temperature uniform. The pressing speed is one of the main parameters that impacts strongly on product quality. In this paper, the mold for studying the effect of pressing speed was designed and manufactured. The Deform 3D software...
Determining suitable biomass particle size and pyrolysis time plays a crucial role in designing and improvement the performance of biomass fast pyrolysis in fluidized bed reactors for bio-oils production. Current numerical modelling investigations has not dealt with the particle sizes and fast pyrolysis time. In this paper, analytical methods were applied to investigate unsteady temperature fields...
Nowadays, the problem of using minimum number of time slots for data aggregation such that sensors can work without data collision for data transmissions has received a great deal of attention in Wireless Sensor Network (WRSN). It is worth mentioning that there exists many approaches that are tried to reduce the number of time slots for data aggregation in WSNs. However, most of previous works are...
Because of the limited energies of sensors, efficient data gathering in wireless sensor network has been received a great deal of attention recently. To prolong the network lifetime, in this paper, we study the problem of scheduling a mobile sink to some specific nodes, termed anchor nodes in this paper, for data collection and reducing the energy consumption of data transmission. While considering...
Recently, the major challenge in the robustness evaluation of networks is to enhance the detecting the most critical nodes. Many researchers have studied the problem of detecting the list of attacked nodes, which are the number of failed nodes is maximum, in order to protect these nodes. However, there is no any previous works to consider the cost of attacks that the budget is limited is very practical...
This paper analyzes and evaluates joint effect of primary interference and artificial noise on information securing capability of cognitive radio networks (CRNs) under interference power constraint, peak transmit power constraint, and Rayleigh fading. An exact formula for an important security performance metric, secrecy outage probability, is first derived and then validated by computer simulations...
In recent years, the use of biofuels in the conventional diesel fuel injection system has been interested by the scientists, fuel producers as well as consumers. However, there has a few of using biodiesel research on Common Rail (CR) diesel engine. This paper descripts a combustion model of a CR multi-injection diesel engine using blends of palm oil derived biodiesel and diesel. The engine combustion...
The changeover from eutectic Sn-Pb solders to lead-free solders has been driven by environmental concerns and market accessibility in the last few years. Moreover, characterization of solder alloys is of primary importance for manufacturers due to their wide use as interconnects in electronic devices. There are many tests used to identify the material parameters of the solder alloys. Most often, the...
Nowadays, the wire electrical discharge machining (WEDM) is widely accepted in the manufacturing industry. This is because WEDM can machine any conducted material regardless of its hardness. Moreover, WEDM can cut complex geometries and micro parts with a very small thickness and provide very high accuracy and low surface roughness. Many researches about WEDM have been carried out during its development...
This paper presents a hybrid control which includes swing-up and balancing control for pendubot system - a two-link under-actuated robot. The parameters of the pendubot system are measured in the actual pendubot system built in the automation lab, University of Technology and Education HCM City. A hybrid controller which drives the system close to the equilibrium manifold and maintains the system...
In this study, the vibration signal is used to analyze the state of an induction motor, and the statistical method is used to extract the defect characteristics to enhance the knowledge base. However, the anomaly pattern recognition system is composed of the inverted neural network algorithm. The result of pattern recognition shows that the five-dimensional index is reliable and has no errors. In...
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