With the development of construction techniques, the high-rise buildings have been established and populated. In the event of fire in these buildings, as the fire is spreading, the risk of large fire is increased and ...
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ISBN:
(纸本)9781467383370
With the development of construction techniques, the high-rise buildings have been established and populated. In the event of fire in these buildings, as the fire is spreading, the risk of large fire is increased and the resulting casualties and property damages are increased. Therefore, the techniques to detect the flame at an early stage are necessary in order to prevent the fire and minimize the damage. The flame detection technique based on physical sensor has limited disadvantages in detecting the fire early. In addition, this technique has a problem of increasing the cost in proportion to the number of regions where it is installed. Image-based flame detection technique has been studied to complement these problems. In this paper, the object is detected by using the adaptive background modeling technique. In the flame detection technique, the flame is detected by converting RGB images to HSI images which have strength even in the change of lightings or scenes. Also, if the object with similar color to the flame is detected from the output image, it will detect it as a fire, leading to increase the misdetection problem. To solve these problems, objects are classified by using the direction information of the object detected. Based on experiment results, if the flame is detected only using the color information, it is confirmed that the fire is detected in real time. However, the problem of classifying the object as the fire occurred when the object had the similar color to the flame in the image. For this, it is confirmed that the performance was improved when classifying the object using the direction information of the object.
A design method for controlling the attitude of a fixed wing aircraft in the presence of uncertainties is proposed in the Multiple Sliding Surface framework. Inertial Delay controller is integrated with Multiple Slidi...
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ISBN:
(纸本)9781467385886
A design method for controlling the attitude of a fixed wing aircraft in the presence of uncertainties is proposed in the Multiple Sliding Surface framework. Inertial Delay controller is integrated with Multiple Sliding surface controller to increase the performance of system by estimating the uncertainties that are present in the system.
The paper presents an analog low power CMOS fuzzy logic controller (FLC) chip implementation and its application to an industrial chemical reactor. This approach employs a simple architecture that contains three stage...
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The paper presents an analog low power CMOS fuzzy logic controller (FLC) chip implementation and its application to an industrial chemical reactor. This approach employs a simple architecture that contains three stages namely Fuzzification, Inference Engine and Defuzzification. The Fuzzifier circuit generates high precision membership functions (MFs) that are easily tunable by changing the voltages in IC pins. The FLC chip has three input MFs and five output MFs. The two input minimum circuits were used to design the Min-Product inferencing for inference engine. Defuzzification circuit is well designed to reduce the size of the chip. The proposed chip has power consumption of about 10mW. The whole chip area is less than 0.5mm 2 . The resulted chip shows simple structure, good performance in processing speed, also enough flexible to compete digital fuzzy approaches, area consumption and accomplished with less reconfigurable rules, a speed of up to about 8 MFLIPS (Fuzzy Logic Inference Per Second) has been achieved. The results show a good functionality of controller in response to confirm the success of the design. The application of the system to an industrial chemical reactor in a feedback loop is considered.
This paper presents the artificial neural network (ANN), fuzzy logic controller (FLC) maximum power point tracking (MPPT) methods in grid connected photovoltaic (PV) systems for optimizing the solar energy efficiency....
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ISBN:
(纸本)9781467369121
This paper presents the artificial neural network (ANN), fuzzy logic controller (FLC) maximum power point tracking (MPPT) methods in grid connected photovoltaic (PV) systems for optimizing the solar energy efficiency. All the methods are simulated in MATLAB-Simulink, respectively together with SunPower-SPR305 PV module connected to single-ended primary inductor converter (SEPIC). Performance assessment covers efficiency, overshoot, settling time response, oscillations and stability.
This paper presents comparison analysis of artificial neural network (ANN) and adaptive neuro fuzzy inference system (ANFIS) artificial intelligence (AI) based maximum power point tracking (MPPT) techniques for tracki...
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ISBN:
(纸本)9781467365413
This paper presents comparison analysis of artificial neural network (ANN) and adaptive neuro fuzzy inference system (ANFIS) artificial intelligence (AI) based maximum power point tracking (MPPT) techniques for tracking maximum power from the Photovoltaic (PV) array. These algorithms are essential since PV arrays have non-linear characteristics with its firm dependence on changing solar irradiation and temperature. To increase the power extracted from solar panel, PV array must operate at a maximum power point (MPP) under given load conditions. Conventional algorithms such as Perturb and Observe (P&O) and Incremental-Conductance (Inc-Cond) suffers, with high oscillations during changing solar irradiation leading to low efficiency, therefore AI based techniques are designed and presented in this paper. ANFIS is more efficient in tracking MPP with less settling time, less overshoot, less oscillations and less time taken to track MPP than ANN based controller.
Energy expenditure of a person closely corresponds to the amount of physical activity. Recently, due to the advance in sensor and electronic technology, we can measure physical activity using portable electronic devic...
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ISBN:
(纸本)9781467386128
Energy expenditure of a person closely corresponds to the amount of physical activity. Recently, due to the advance in sensor and electronic technology, we can measure physical activity using portable electronic devices. Smart phones are well equipped with useful sensors such as accelerometers and orientation. In this paper, we present estimation method of activity energy expenditure using a smart phone and use the accelerometer inside a smart phone as a sensitive element able to identify activity.
This paper presents an approach to design and develop an Unmanned Powered Parafoil Aerial Vehicle (UPPAV) to surveillance an area. The paper discusses in detail about the relation between Parafoil size and payload wei...
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This paper presents an approach to design and develop an Unmanned Powered Parafoil Aerial Vehicle (UPPAV) to surveillance an area. The paper discusses in detail about the relation between Parafoil size and payload weight. Analytical calculations are done to understand the UPPAV performance. The performance results are then compared with open loop flight test results.
The primary objective is to investigate the applicability of spectral methods for designing feedback controllers for a closed loop system with an input shaper with time delays. The shaper is included in the feedback l...
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Chlorosulfonated polyethylene (CSPE) was not flooded seawater and flooded seawater & freshwater for 5 days, respectively, and these samples are referred to as BSF(before seawater flooding) and ASFF(after seawater ...
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This paper presents the online identification method for interior permanent-magnet synchronous motor (IPMSM) drive system with the maximum torque per ampere (MTPA). The inductances of the motor are identified by recur...
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ISBN:
(纸本)9781479988068
This paper presents the online identification method for interior permanent-magnet synchronous motor (IPMSM) drive system with the maximum torque per ampere (MTPA). The inductances of the motor are identified by recursive least square (RLS) method based on mathematical model, considering the flux saturation state. Using this technique, the improvement of the MTPA trajectory for IPMSM can be implemented along with the effect of magnetic flux. This final paper presents an idea and a procedure of the proposed algorithm. The simulation results are carried out and presented.
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