This paper presents a simple acquisition setup to obtain a dynamic model of a real system from input-output experimental data. A data acquisition module with a sampling rate of 1.25MS/s is communicated to the personal...
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This paper presents a simple acquisition setup to obtain a dynamic model of a real system from input-output experimental data. A data acquisition module with a sampling rate of 1.25MS/s is communicated to the personal computer via USB interface. Matlab Data Acquisition are used to acquire the input output data from the plant, and system Identification toolbox will then generate the plant transfer function. The plant presented in this paper is a DC motor. The validation of transfer function in the Simulink shows that the proposed setup able to model a second-order system. This setup is targeted to assist in the teaching of classical controlsystem for undergraduate students specifically in the subtopic system Modeling. It has advantages in terms of low-cost and portability as well as provides good introductory practical experience for the beginner to controlsystem.
This paper presents a new electronically tunable mixed-mode quadrature sinusoidal oscillator using new allpass section as an building block. The oscillator is consisted of two allpass sections. Each allpass section em...
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This paper presents a new electronically tunable mixed-mode quadrature sinusoidal oscillator using new allpass section as an building block. The oscillator is consisted of two allpass sections. Each allpass section employs one current-controlled current differencing transconductance amplifier and one grounded capacitor. The condition of oscillation and the frequency of oscillation can be controlled independently and electronically by adjusting the bias currents. The oscillator also offers two explicit quadrature voltage and quadrature current outputs into a single topology. The workability of the proposed structure is verified by PSPICE simulators based on 0.25 μm TSMC CMOS process.
Electric field emission of electrical appliances has become an important problem, especially when testing for safety and compliance with regulations of electromagnetic compatibility (EMC). To confirm the safety and co...
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Electric field emission of electrical appliances has become an important problem, especially when testing for safety and compliance with regulations of electromagnetic compatibility (EMC). To confirm the safety and compliance of an electrical appliance, it is important to measure the levels of the emitted electric and magnetic fields from this appliance and compare them to the exposure limit values set by the international standards. Moreover, modeling these emitted fields can aid understanding their characteristics and ease investigating how different systems react to such emission. However, a good model depends mainly on the accuracy and robustness of the measurement methodology. Hence, the aim of this paper is to present a measurement methodology and a frequency domain model for the emitted electric field of vacuum cleaners using system identification tools. The proposed model is a data-driven model where the recorded signal is used to construct the model using polynomial model estimation methods. Measurement setup, related work and the model equation are presented accordingly.
The advancement of computer hardware has opened up new challenges to algorithms experts. One of the challenges is designing new algorithm that exploit the parallel nature of the new architecture of current computer ha...
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The advancement of computer hardware has opened up new challenges to algorithms experts. One of the challenges is designing new algorithm that exploit the parallel nature of the new architecture of current computer hardware. In this study, we redesign the hybrid exact string matching algorithm named AKRAM on parallel platform with the goal of speeding up the algorithm. The parallel of this algorithm showed optimal results, in parallel time, speed up, efficiency and percentage of performance gain when compared to the sequential version. The result demonstrated that the performance of both parallelized and sequential of AKRAM algorithm was influenced by type of data. The DNA sequence showed the highest performance than other data types after parallelization.
This paper describes an ENERGY CONSERVATION & MONITORING system, designed to avoid usage of extra energy consumption and monitor the usage of energy. Energy crises have caused economic halts to many countries, cau...
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This paper describes an ENERGY CONSERVATION & MONITORING system, designed to avoid usage of extra energy consumption and monitor the usage of energy. Energy crises have caused economic halts to many countries, causing hindrance in development of developing nations. This project is a small effort to solve this problem. The testing and demonstration of this project was conducted in Faculty of engineering Sciences and Technology, Hamdard University, Karachi, Pakistan. In first stage of the project, load calculation was done in which load of whole campus was determined. After that, implementation of this project was done in defined area. In which motion sensors were used to detect the presence of body in a certain range. The appliances were controlled by motion sensor in that area and this was logged in software connected with computer through serial port. The simulation results show that after implementation of this project around 20- 30 % energy was saved.
Image based modeling and documentation are become important elements in historical or heritage representation. As an alternative method, The Digital Close-Range Photogrammetry approach offers a manual and semi automat...
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Image based modeling and documentation are become important elements in historical or heritage representation. As an alternative method, The Digital Close-Range Photogrammetry approach offers a manual and semi automatic measurement process to provide the digital base drawing for creating the three dimensional (3D) model. In addition, differential rectified images of the three research objects have been generated. In this paper overall view of measurement method, visualization and modeling are presented. Finally a precise and an accurate 3D model output with a digital visualization of various angle model, viewing side plan and three dimensional models was generated.
The study of static friction in controlengineering is the subject of many researches due to its impact on degradation of performance of the control loops. Mathematical model of systems with static friction is not str...
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The study of static friction in controlengineering is the subject of many researches due to its impact on degradation of performance of the control loops. Mathematical model of systems with static friction is not straight forward. Precise and proper model of this phenomenon is a key factor in model-based control to mitigate its effect. By increasing number of smart valve in industry, demand for identification of such valves is rising. In these valves, identification of process is limited to control signal (OP) and valve position (MV). By taking advantage of Hammerstein approach, identification is divided in two parts, linear dynamic part and nonlinear static part. In this paper, adaptive neuro-fuzzy inference system (ANFIS) is used for identification of nonlinear static part of the plant. The linear dynamic part can be identified using linear identification methods. Results reveal that ANFIS which integrates both neural networks and fuzzy logic principles and has potential to capture the benefits of both in a single framework can capture well the key model of the systems with smart valves involved in static friction.
We present a new inpainting algorithm that is based on image segmentation and segment classification. First, we employ the mean shift algorithm to segment the input image. Then, we divide the original inpainting probl...
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We present a new inpainting algorithm that is based on image segmentation and segment classification. First, we employ the mean shift algorithm to segment the input image. Then, we divide the original inpainting problem to be either one of the two problems: Large Segment Inpainting problem or Non-uniform Segments inpainting problem. The reason we do that is that human eye is more discerning to the errors in the structure and texture propagation of a large-uniform regions with less details while it is less discerning to errors in non-uniform regions with more details. We propose a novel algorithm for each one of the problems- Large Segment Inpainting and Non-uniform Segments inpainting- according to the main features of each one. The experimental results show the advantage of our technique which produces output images with better perceived visual quality.
The existing path selection scheme in ieee 802.11s for wireless mesh networks is Hybrid Wireless Mesh Protocol (HWMP). The main routing metric of HWMP is called airtime metric, which is dependent on packet error rate ...
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The existing path selection scheme in ieee 802.11s for wireless mesh networks is Hybrid Wireless Mesh Protocol (HWMP). The main routing metric of HWMP is called airtime metric, which is dependent on packet error rate and transmission bitrate. HWMP does not take energy efficiency into consideration despite its importance for mobile nodes and other nodes which are battery driven. In our proposed energy-efficient HWMP (eHWMP) scheme, in addition to airtime metric, we incorporate per-hop delay and residual energy into the routing metric in order to increase energy efficiency without jeopardizing end-to-end delay performance. Preliminary simulation results show that eHWMP achieves our objective by increasing network lifetime without causing significant effects on end-to-end delay and throughput as compared to the traditional HWMP.
The mathematic model of command signal and instruction modulus is the key of simulation of single channel control-and-guide system. A model is established for most common single channel control-and-guide system in the...
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