Radio Frequency Identification (RFID) systems, due to recent technological advances, have been used for various advantages in industry like production facilities, supply chain management etc. However, sometimes this r...
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Radio Frequency Identification (RFID) systems, due to recent technological advances, have been used for various advantages in industry like production facilities, supply chain management etc. However, sometimes this requires a dense deployment of readers to cover the working area. Without optimizing reader's location and number, many of them will be redundant, reducing the efficiency of the whole RFID system. There are many algorithms proposed to solve this redundant reader problem, but all existing algorithms are based on omnidirectional reader antenna pattern, which is not practical. In this paper, a genetic algorithm is used to optimize the antenna beam to eliminate redundant reader based on real directional reader antenna pattern.
In this paper, inset fed microstrip antennas for single band and dual-band operation are proposed. This design aims to achieve single band operation for RFID at 2.4 GHz as well as dual-band operation at 2.4 GHz for RF...
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In this paper, inset fed microstrip antennas for single band and dual-band operation are proposed. This design aims to achieve single band operation for RFID at 2.4 GHz as well as dual-band operation at 2.4 GHz for RFID and 3.5GHz for WiMAX applications. Simulation results exhibit a return loss of -27dB for single-band operation (2.4 GHz) while at and -20dB and -12.87dB for 2.4GHz and 3.5GHz (for dual-band) respectively. The Finite Difference Time Domain (FDTD) technique was used to analyze both antennas showing close agreement with the simulated results.
We provide simple and versatile QD transplanting method, which allows well-defined QD patterns down to a few micrometers and also provides compatibility with conventional device fabrication process and device architec...
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The paper analyzed and model of a fault tolerant electromechanical controlled worm gear driven fuel shut off valve for aerospace application. The analysis is mainly on design a reduced order fractional controller. Thi...
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Many genetic disorders or abnormalities that may occur in the future generations can be predicted through analyzing the shape and morphological characteristics of the human chromosomes. This is usually carried out by ...
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Many genetic disorders or abnormalities that may occur in the future generations can be predicted through analyzing the shape and morphological characteristics of the human chromosomes. This is usually carried out by an expert, inspecting the Karyotype of the patients. A Karyotype is a particular table that presents the chromosome images in a standard format. To generate a Karyotype, it is necessary to identify each of the 23 pairs of the chromosomes within the microscopic images first. The main step to automate this procedure is the definition of some morphological features for each chromosome. The most common features used for chromosomes identification includes the location of the Centromere and the length of the chromosome. Many other important features, such as Centromeric Index, are usually extracted from the Centromere and length. In this paper, a novel and effective algorithm for Centromere locating and length calculation for the human chromosomes is presented. The proposed algorithm uses the fact that the centromere is the narrowest part of the chromosome. By defining a gray level mask (GLM), which is a linearly varying gray level image along the chromosome longitudinal direction and multiplying it to the binary version of the chromosome image, it is shown that the global minimum in the histogram of the resulted image indicates the location of the centromere. The data set used in this work was provided by the Tesi-Imaging srl in Milan, Italy. A mean value of the absolute error of 3.6 and 5.2 pixels was obtained in identification of the chromosome centromere and length respectively by the proposed method.
In float glass fabrication once defects are detected, recognition of the defect type is important for adjustment of the process conditions. Based on analysis of the float process conditions and float glass defects, th...
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In float glass fabrication once defects are detected, recognition of the defect type is important for adjustment of the process conditions. Based on analysis of the float process conditions and float glass defects, this paper outlines an adaptive neural network based classification. Twelve features of the defect are picked out as the inputs for defect classification. The ReliefF method is used to evaluate the features, and the sequence of defect features is decided based on the results of the evaluation. The momentum term and adaptive learning rate is used to address the classification's disadvantage of slow learning speed and easy falling into a local minimum. Experiments and real application proves that the float glass defect classification presented here correctly recognizes defects in real time, and satisfies the requirements of float glass fabrication.
In multi-agent systems, agents are inclined to form coalitions to improve individual performance and perform tasks more efficiently. However, the most existing researches assume that the desired outcome is a coalition...
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This paper presents a vision-tracking system for a mobile robot, using robot motion and stereo vision data. The mobile robot has an actuator module which pans and tilts an integrated stereo camera. The proposed system...
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This paper presents a vision-tracking system for a mobile robot, using robot motion and stereo vision data. The mobile robot has an actuator module which pans and tilts an integrated stereo camera. The proposed system controls the actuator to maintain the line of sight of the stereo camera towards a stationary target by using the robot motion data. The robot motion data are obtained from a gyroscope and encoders of the mobile robot. The stereo vision data from the camera is used to compensate for errors in the motion measurements, and to prevent a long term error accumulation. This vision-based compensation is used only when the robot stops or moves slowly, because the long vision processing times can cause the loop time to overrun. The proposed system is experimentally evaluated while the robot moves on a trajectory.
We provide simple and versatile QD transplanting method, which allows well-defined QD patterns down to a few micrometers and also provides compatibility with conventional device fabrication process and device architec...
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ISBN:
(纸本)9781618390967
We provide simple and versatile QD transplanting method, which allows well-defined QD patterns down to a few micrometers and also provides compatibility with conventional device fabrication process and device architecture. We also demonstrate red, green, and blue QLEDs with transplanted QD active layers and characterize them in systematic correlation study between QD pattern morphology and device performances.
RRAM is very promising due to many fascinating advantages as follows; fast writing/reading time, low programming power and multi bit storage for high density up to tera bit memory are possible [1]. But it is very diff...
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RRAM is very promising due to many fascinating advantages as follows; fast writing/reading time, low programming power and multi bit storage for high density up to tera bit memory are possible [1]. But it is very difficult to satisfy all best resistive switching characteristics. There is a trade-off between reset current (I RESET ) and forming voltage (V FORMING ) in single layered cell structure as shown in fig. 1 (a). Fig. 1 (b) shows the initial resistance (R INITIAL ) as a function of reset resistance (R RESET ) and set resistance (R SET ) by using our fabricated NiO based unipolar RRAM cell. We have reported that V FORMING increases if R INITIAL is high enough, therefore it proves that R INITIAL needs to be lowered in order to lower operating condition [2]. However there is also a trade off. If R INITIAL is sufficiently low, sensing margin which means reset/set resistance ratio is also reduced. So, new ideas for satisfying both resistive switching conditions are needed. Figure 2 shows the typical I-V curves of forming (a) and reset/set switching (b) based on single layered unipolar RRAM structure by using RCB model [3] and figure 3 shows the illustration of bi layered RRAM cell structure. Lower layer (2 ND resistive layer) is acting as forming assistance layer for low power consumption. Upper layer (1 ST resistive layer) is used for controlling reset/set switching. Because resistive switching occurs at cell interface, interface engineering is very critical for improving resistive switching uniformity. Figure 4 illustrates the detailed tested metal - insulator-metal (MIM) cell structure. Charged particle which is source of CF path such as oxygen vacancy and metallic ion in resistive cell can be defined as conductive defect. Conductive defect fraction is varied from 0.05 (lower layer) to 0.025 (upper layer), respectively. Conductive defect fraction of reference cell is 0.05. The each layer rules and their actions for bi-layered RRAM cell structure are summa
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