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An Intrusion Detection System is an application which observes movements or action happen on the network and determine it for any kind of harmful activity that can disturb computer security policy. With progress of increase the usage rate of the internet, there is a widely increase in the number of internet attacks as well, so contests arise towards the network security due to the arrival of new approaches of attacks. To classify these attacks, a new hybrid method with the help of data mining based on decision tree C4.5 and Meta algorithm is planned. This method gives a classifier which expands the whole accuracy of detection. Many data mining techniques have been settled for detecting intrusion. For recognition of anomalies a hybrid technique based on decision tree C4.5 with Meta algorithm is offered that provides better accuracy and reduces the problem of high false alarm ratio. The assessment of the given approach is made with other data mining techniques. With this given approach detection rate is improved significantly. KDD Cup 1999 dataset use for experimental work.
The main object of this paper is to introduce and investigate new subclasses of normalized analytic functions in the open unit disc U, which generalize the familiar class of k-starlike functions. The various properties and characteristics for functions belonging to these classes derived here include (for example) coefficient inequalities, distortion theorems involving fractional calculus, extreme points, integral operators and integral means inequalities.
The atmospheric meteorology parameters of the earth, such as temperature, pressure, and humidity, strongly influence the propagation of signals in Global Navigation Satellite Systems (GNSSs). The propagation delays associated with GNSS signals can be modeled and explained based on the atmospheric temperature, pressure, and humidity, as well as the locations of the satellites and receivers. In this paper, we propose an optimized and simplified low cost GNSS base weather station that can be used to provide a global estimate of the integrated water vapor value. Our algorithm can be used to measure the zenith tropospheric delay based on the measured propagation delays in the received signals. We also present the results of the data measurements performed at our station located in the Tlemcen region of Algeria.
The fullerene solar cells are becoming a feasible choice due to the advanced developments in donor materials andimproved fabrication techniques of devices. Recently, sufficient optimization and improvements in the processingtechniques like incorporation of solvent vapor annealing (SVA) with additives in solvents has become a majorcause of prominent improvements in the performance of organic solar cell-based devices . On the other hand, thechallenge of reduced open circuit voltage (Voc) remains. This study presents an approach for significant performanceimprovement of overall device based on organic small molecular solar cells (SMSCs) by following a two steptechnique that comprises thermal annealing (TA) and SVA (abbreviated as SVA+TA). In case of exclusive use of SVA,reduction in Voc can be eliminated in an effective way. The characteristics of charge carriers can be determined bythe measurement of transient photo-voltage (TPV) and transient photo-current (TPC) that determines the scopefor improvement in the performance of device by two step annealing. The recovery of reduced Voc is linked with thenecessary change in the dynamics of charge that lead to increased overall performance of device. Moreover, SVAand TA complement each other; therefore, two step annealing technique is an appropriate way to simultaneouslyimprove the parameters such as Voc, fill factor (FF), short circuit current density (Jsc) and PCE of small molecular solarcells.
During recent years a new type of depth sensors was made available in the market known as Microsoft Kinect Sensor. Its active sensing technology is well suited for applications that may require higher frame rates. However, it can totally fail in situations where the subject absorbs or reflects the infrared pattern casted by the sensor i.e. specular or transparent and near or far away objects. Kinect depth output contains holes in areas where these objects exist. In this paper we formulate a framework to overcome this shortcoming. We utilized two Kinect sensors placed to have a different viewing angle in coordination with two Kinect RGB cameras forming a stereo pair. As Kinect provides information about unreliable depths, therefore enhancements were performed selectively only in those areas where necessary. In this way, two separately placed depth sensors are able to offer some enhancements due to their different viewing angles. In addition, we first align depth images and look for the areas that still require enhancements. Thus, those areas can be improved using stereo matching. Using adaptive algorithms for stereo matching provides us with faster possibilities to come up with a better depth map.
We propose a method to quickly and accurately extract fingertips from a single Kinect depth image using an object recognition approach and to fuse the extracted information with the leap motion sensor provided output for the same object under observation. Kinect sensor output is jittery in nature and is not too reliable for precise tracking like fingers. Since leap motion provides accurate finger estimates, we can fuse two datasets and can use in many immersive AR applications. Using our method the extraction process can be simplified into a simpler per-pixel operation hence improving the performance of the algorithm. The algorithm can run on consumer hardware at interactive rates hence can be used in many immersive augmented reality applications. We avoid using training data sets and by this approach we can make it possible to run the algorithm with minimal computing effort. The algorithm is not temporal in nature so even if we lose track of our area of interest there is no need to reinitialize the procedure. We use per frame operations and it enhances the robustness of the proposed method. We aim to achieve state of the art accuracy targets only by using consumer hardware and hence contributing to a better use of publicly available depth sensors and other gaming consoles.
This paper discusses a Coefficient of Performance of geothermal heat pump and air-to-air heat pump in the climatic conditions of Republic of Korea in heating mode.A vertica IU-shaped geothermal heat exchangεr using water as the working fluid has been designed using the temperature gradient of Korean soil obtained from Korea Meteorological Administration (KMA). The analysis was carried out using finite volume software ‘Fluent'. The heated water from the geothermal heat exchanger was used as the heat source for the heat pump circui t. A Comparison of Coefficient of Performance of geothermal heat pump and air-to-air heat pump in the climatic conditions of Republic of Korea has been dis cussed in heating mode. And it has been shown that using geothermal heat pumps is more efficient than air-to-air heat pump in the climatic conditions of Republic of Korea for heating purpose..