49 research outputs found

    Detection and Recognition of Traffic Sign using FCM with SVM

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    This paper mainly focuses on Traffic Sign and board Detection systems that have been placed on roads and highway. This system aims to deal with real-time traffic sign and traffic board recognition, i.e. localizing what type of traffic sign and traffic board are appears in which area of an input image at a fast processing time. Our detection module is based on proposed extraction and classification of traffic signs built upon a color probability model using HAAR feature Extraction and color Histogram of Orientated Gradients (HOG).HOG technique is used to convert original image into gray color then applies RGB for foreground. Then the Support Vector Machine (SVM) fetches the object from the above result and compares with database. At the same time Fuzzy Cmeans cluster (FCM) technique get the same output from above result and then  to compare with the database images. By using this method, accuracy of identifying the signs could be improved. Also the dynamic updating of new signals can be done. The goal of this work is to provide optimized prediction on the given sign

    Metal oxide semiconducting interfacial layers for photovoltaic and photocatalytic applications

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    The present review rationalizes the significance of the metal oxide semiconductor (MOS) interfaces in the field of photovoltaics and photocatalysis. This perspective considers the role of interface science in energy harvesting using organic photovoltaics (OPVs) and dye-sensitized solar cells (DSSCs). These interfaces include large surface area junctions between photoelectrodes and dyes, the interlayer grain boundaries within the photoanodes, and the interfaces between photoactive layers and the top and bottom contacts. Controlling the collection and minimizing the trapping of charge carriers at these boundaries is crucial to overall power conversion efficiency of solar cells. Similarly, MOS photocatalysts exhibit strong variations in their photocatalytic activities as a function of band structure and surface states. Here, the MOS interface plays a vital role in the generation of OH radicals, which forms the basis of the photocatalytic processes. The physical chemistry and materials science of these MOS interfaces and their influence on device performance are also discussed

    INTELLIGENT TECHNIQUE OF CANCELING MATERNAL ECG IN FECG EXTRACTION

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    ABSTRACT. In this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (ANFIS) for canceling maternal electrocardiogram (MECG) in fetal electrocardiogram extraction (FECG).This technique is used to estimate the MECG present in the abdominal signal of a pregnant woman. The FECG is then extracted by subtracting the estimated MECG from the abdominal signal. Performance of the proposed method in terms of mean square error, signal to noise ratio is compared with neural network. Our results show that this method is a simple and powerful means for the extraction of FECG

    Relation between charge carrier mobility and lifetime in organic photovoltaics

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    The relationship between charge carrier lifetime and mobility in a bulk heterojunction based organic solar cell, utilizing diketopyrrolopyrole- naphthalene co-polymer and PC71BM in the photoactive blend layer, is investigated using the photoinduced charge extraction by linearly increasing voltage technique. Light intensity, delay time, and temperature dependent experiments are used to quantify the charge carrier mobility and density as well as the temperature dependence of both. From the saturation of photoinduced current at high laser intensities, it is shown that Langevin-type bimolecular recombination is present in the studied system. The charge carrier lifetime, especially in Langevin systems, is discussed to be an ambiguous and unreliable parameter to determine the performance of organic solar cells, because of the dependence of charge carrier lifetime on charge carrier density, mobility, and type of recombination. It is revealed that the relation between charge mobility (μ) and lifetime (τ) is inversely proportional, where the μτ product is independent of temperature. The results indicate that in photovoltaic systems with Langevin type bimolecular recombination, the strategies to increase the charge lifetime might not be beneficial because of an accompanying reduction in charge carrier mobility. Instead, the focus on non-Langevin mechanisms of recombination is crucial, because this allows an increase in the charge extraction rate by improving the carrier lifetime, density, and mobility simultaneously

    Detection of ST Segment Elevation Myocardial Infarction (STEMI) Using Bacterial Foraging Optimization Technique

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    Abstract — The rife of heart disease (HD) is a comprehensive phenomenon, and the scale of the cardiovascular disease (CVD) increases in prevalence in the developed world. Cardio vascular disease (CVD) is the foremost cause of death worldwide; the World Health Organization (WHO) estimates that globally 17.3 million people died from Heart Disease in 2008, representing 30 % of global deaths. The forecast of heart disease is a multi-layered problem, which is not free from false assumptions. The eminence of the clinical decisions and the effect of the stratagems should optimize the patient’s outcomes and to lessen the risk of disease factors, if the methods are applied effectively and properly grounded on the expert analysis on the presented data. The major clinical information related to heart disease can be obtained by the analysis for electrocardiograph (ECG) signal. The ST segment Myocardial Infarction (STEMI) is the severe type and the elevated ST segment on the ECG data represents that large amount of heart muscle mutilation is stirring. In this paper we recommend a constructive approach to identify the STEMI in the ECG signal of a person. The sample ECG data’s are acquired from the MIT-BIH databases. Those data’s are subsequently pre-processed; the ST segment is extracted and then measured to identify the availability of the disease. During the ST segment analysis stage the beats generated by the ventricular in origin or ventricular paced are resolute. The fine-tuned data set is converted into

    Influence of trap depth on charge transport in inverted bulk heterojunction solar cells employing zno as electron transport layer

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    10.1109/INEC.2013.6466043Proceedings - Winter Simulation Conference346-349WSCP
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