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Transiting planet search in the Kepler pipeline

Transiting planet search in the <i>Kepler</i> pipeline

引用

Conference On Software and Cyberinfrastructure for Astronomy

作者： Jenkins, Jon M. Chandrasekara, Hema McCauliff, Sean D. Caldwell, Douglas A. Tenenbaum, Peter Li, Jie Klaus, Todd C. Cote, Miles T. Middour, Christopher NASA Ames Res Ctr SETI Inst M-S 244-30 Stanford CA 94305 USA Lawrence Livermore Natl Lab Livermore CA 94551 USA NASA Ames Res Ctr Orbital Sci Corp Stanford CA 94305 USA NASA Ames Res Ctr Stanford CA 94305 USA

ISBN: (纸本)9780819482303

The Kepler Mission simultaneously measures the brightness of more than 160,000 stars every 29.4 minutes over a 3.5-year mission to search for transiting planets. Detecting transits is a signal-detection problem where the signal of interest is a periodic pulse train and the predominant noise source is non-white, non-stationary (1/f) type process of stellar variability. Many stars also exhibit coherent or quasi-coherent oscillations. The detection algorithm first identifies and removes strong oscillations followed by an adaptive, wavelet-based matched filter. We discuss how we obtain super-resolution detection statistics and the effectiveness of the algorithm for Kepler flight data.

关键词： Kepler Mission exoplanet transit detection algorithm

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The simulation study of shunt active power filter in the power system harmonics restraint

The simulation study of shunt active power filter in the pow...

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2nd International Conference on Frontiers of Mechanical Engineering and Materials Engineering (MEME 2013)

作者： Rao Bin Zou Qingyuan Zhong Tingjian Liu Qingping Jiangxi Vocat & Tech Coll Elect Nanchang 330032 Peoples R China

ISBN: (纸本)9783037859247

because of the existence of non-linear loads,they will be inpouring a lot of harmonic current to the power system,in order to restrain harmonic,we have to take relevant measures to restrain. This paper introduces three measures of harmonic restraint firstly, expounds the active power filter, and then it analyses the work principle and mathematical model of shunt active power filter, building three-phase shunt active power filter simulation model,;At last, using MATLAB simulation experiment,the result shows that the shunt active power filter of harmonic detection algorithm and the control strategy are correct and effective, and also it has the important significance to the power system harmonic restraint.

关键词： nonlinear loads Harmonic Active power filter detection algorithm

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Overview of infrared dim and small target detection methods

Overview of infrared dim and small target detection methods

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作者： Jiazhen Liu Askar Hamdulla Institute of Information Science and Engineering Xinjiang University

In the modern technology warfare, infrared weak target detection technology occupies a very important position. In civil use, the infrared weak target detection technology has also been widely applied and developed. The application and research status of infrared weak targets are briefly analyzed. The characteristics of infrared weak targets are introduced. The principles and steps of some classic improved methods for infrared small target detection methods in recent years are summarized. Finally, the differences of several classical algorithms such as Gauss filtering, mean filtering, median filtering, morphology and adaptive Wiener filtering are compared. This paper lays a foundation for the learning of infrared small target detection algorithm and is helpful to the research of improved algorithm for infrared small target detection.

关键词： Infrared Small Target detection algorithm Filtering algorithm

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Tongue Motion-based Operation of Support System for Paralyzed Patients

Tongue Motion-based Operation of Support System for Paralyze...

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IEEE International Conference on Rehabilitation Robotics (ICORR)/International Neurorehabilitation Symposium (INRS)/International Conference on Virtual Rehabilitation (ICVR)

作者： Takahashi, Junji Suezawa, Satoru Hasegawa, Yasuhisa Sankai, Yoshiyuki Univ Tsukuba Grad Sch Syst & Informat Engn Tsukuba Ibaraki 3058573 Japan

ISBN: (纸本)9781424498628

This paper proposes a new control device based on tongue motions to control and communicate with a support system for a paralyzed patient. We focus on the tongue movements as one of output of human intentions, because the tongue has one of capable parts for the motions and it does not affected by spinal cord damage. The tongue motion is easily observed from his/her mouse inside, it is, however, hard to observe them from outside. We therefore propose a detection algorithm of the tongue motions by using multiple array electrodes attached on a skin surface around a neck. The tongue motions are detected based on the center position of distributions of muscle elctric potentials that are measured by the electrodes. We investigated the precisions of the detection algorithm through some experiments and then confirmed that almost accucracy of discrimination is more than 70 as for six tongue movements such as left, right, forward, back, up, and down. Additionally, we evaluated operability of the proposed algorithm quantitatively using Fitts' law based test bed GUI, and the performance of the proposed interface was compared with that of other available interfaces.

关键词： Electrodes Fitts law based test bed GUI Graphical user interfaces IP networks Indexes Mice Muscles Tongue bioelectric potentials biological organs biomechanics biomedical electrodes biomedical equipment detection algorithm electrodes graphical user interf

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Reduced Complexity for The Radius Adaptive K-Best algorithm

Reduced Complexity for The Radius Adaptive K-Best Algorithm

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22nd Wireless and Optical Communications Conference (WOCC)

作者： Fang, Hanlin Ge, Lijia Chen, Jianqing Chongqing Commun Inst Chongqing Key Lab Emergency Commun Chongqing Peoples R China

ISBN: (纸本)9781467356978;9781467356992

The detection of multiple-input multiple-output (MIMO) system is an important issue. The radius adaptive K-Best (RAKB) algorithm is proposed for the detection of the MIMO system, it decomposes the searching tree into several sub-branches and provides similar bit-error-rate (BER) performance to the K-Best algorithm. But the complexity of the RAKB algorithm is still very high, it will pay an additional arithmetic at low signal-to-noise ratio (SNR). In this paper, we improve the RAKB algorithm to simply the complexity. The improved algorithm only searches the preinstall sub-branch at low SNR. Simulation results show that the improved algorithm achieves similar performance to the K-Best algorithm with a significantly reduced complexity, in terms of the number of visited nodes and computational time.

关键词： MIMO detection algorithm complexity reduction

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Multidimensional Data Mining For Anomaly Extraction

Multidimensional Data Mining For Anomaly Extraction

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3rd International Conference on Advances in Computing and Communications (ICACC)

作者： Patil, Pratima R. Bhamare, Mamta Maharastra Inst Technol Depatment Comp Engg Pune Maharashtra India

ISBN: (纸本)9780769550336

Due to heavy traffic the network monitoring is very difficult and cumbersome job, hence the probability of network attacks increases substantially. So there is the need of extraction anomalies. Anomaly extraction means to find flows associated with the anomalous events, in a large set of flows observed during an anomalous time interval. Anomaly extraction is very important for root-cause analysis, network forensics, attack mitigation and anomaly modeling. To identify the suspicious flows, we use meta-data provided by several histogram based detectors and then apply association rule with multidimensional mining concept to find and summarize anomalous flows. By taking rich traffic data from a backbone network, we show that our technique effectively finds the flows associated with the anomalous events. So by applying multidimensional mining rule to extract anomaly, we can reduce the work-hours needed for analyzing alarms and making anomaly systems more effective.

关键词： data mining association rules detection algorithm

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Statistical Processing algorithms of Signals at Ultra-sound Distance Measurement 13

Statistical Processing Algorithms of Signals at Ultra-sound ...

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13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE)

作者： Radchenko, Sergey E. Kozlov, Ilya N. Novosibirsk State Tech Univ Dept Construct & Technol Radio Elect Devices Novosibirsk Russia

ISBN: (纸本)9781509040698

Statistical model of measuring signals in systems of time domain reflectometry was proposed. On the basis of this reflectometry the estimates of reflected signal parameters were obtained by means of complete sufficient statistics. Simulation modeling, which confirmed the consistency and efficiency of the estimates, was conducted. Based on the principle of unbiasedness the synthesis of uniformly most powerful unbiased detection algorithm of change in slope parameter of linearly-varying measuring signal was carried out. Simulation modeling has indicated the efficiency of the algorithm and expediency of its application to detect small changes in the measuring signal parameters of time domain reflectometry systems.

关键词： estimate of parameters detection algorithm ultra-sound level meter threshold constant

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Constructing Arbitrary-Shape Scatterer Models for Analysis of Optical Spectral Data 25

Constructing Arbitrary-Shape Scatterer Models for Analysis o...

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Conference on Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXV

作者： Shabaev, A. Furstenberg, R. Huffman, T. Kendziora, C. A. McGill, R. A. Naval Res Lab Washington DC 20375 USA

ISBN: (纸本)9781510674301;9781510674318

This study examines an application of simulated single-particle spectra for analysis of IR scattering by suspensions of small particles. Particularly, the case of aerosols comprised of solid particles is explored. These particles vary in size, shape, and orientation with respect to the incident light. Single particle scattering is numerically calculated and the simulated data is surveyed. The scattering of particle ensembles is considered and a prototype system consisting of a sparse distribution of particles is evaluated.

关键词： infrared spectroscopy Mie scattering spectral analysis detection algorithm standoff detection synthetic data aerosols

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JOP-alarm: Detecting Jump-oriented Programming-based Anomalies in Applications

JOP-alarm: Detecting Jump-oriented Programming-based Anomali...

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31st IEEE International Conference on Computer Design (ICCD)

作者： Yao, Fan Chen, Jie Venkataramani, Guru George Washington Univ Dept Elect & Comp Engn Washington DC USA

ISBN: (纸本)9781479929870

Code Reuse-based Attacks (popularly known as CRA) are becoming increasingly notorious because of their ability to reuse existing code, and evade the guarding mechanisms in place to prevent code injection-based attacks. Among the recent code reuse-based exploits, Jump Oriented Programming (JOP) captures short sequences of existing code ending in indirect jumps or calls (known as gadgets), and utilizes them to cause harmful, unintended program behavior. In this work, we propose a novel, easily implementable algorithm, called JOP-alarm, that computes a score value to assess the potential for JOP attack, and detects possibly harmful program behavior. We demonstrate the effectiveness of our algorithm using published JOP code, and test the false positive alarm rate using several unmodified SPEC2006 benchmarks.

关键词： Jump-oriented programming Code reuse attack detection algorithm

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Enumeration of Plasmodium Parasites on Thin Blood Smear Digital Microscopic Images 5

Enumeration of Plasmodium Parasites on Thin Blood Smear Digi...

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5th International Conference on Science in Information Technology (ICSITech)

作者： Prananda, Alifia Revan Nugroho, Hanung Adi Ardiyanto, Igi Univ Gadjah Mada Fac Engn Dept Elect & Informat Engn Yogyakarta 55281 Indonesia

ISBN: (纸本)9781728123806

An automated parasite detection is one of the challenges in computer vision and medicine field. Recently, an automated detection system became necessary in order to assist the parasitologist in detecting parasite. However, the development of automated parasite detection had several challenges. Mostly, previous research studies were conducted with the homogeny dataset. Hence, it will become a problem if the research was conducted with various dataset. According to those facts, this study proposed a scheme for detecting Plasmodium parasites. In this study, 46 thin blood smear digital microscopic images of Plasmodium Falciparum with several kinds of pixel intensity were used. The proposed method started by normalizing the data. The normalization result was then segmented by using Otsu thresholding and some operations of morphological operation. Based on the segmentation result, parasite candidate detection was done by storing the location of an object in segmentation result and labeling the object by using BLOB analysis. The result of detection process produced high number of false positive. To reduce the number of false positive, feature extraction process followed by classification process was conducted. Several texture features such as histogram, GLCM and GLRLM were used to extract information of parasite. Classification process was conducted by applying several kernels of SVM classifier. According to the evaluation process, the proposed method has better performance than previous study and successfully distinguish parasite and non-parasite by using the cubic kernel of SVM with accuracy, sensitivity, specificity, PPV and NPV of 97.4%, 100%, 94.8%, 95.1% and 100%, respectively. These results indicated that the proposed scheme is proper in order to assist the expert in detecting Plasmodium parasites effectively.

关键词： detection algorithm malaria microscopic images Plasmodium parasites

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