A Study on Feature Extraction and Response Technology of Zombie Smartphone (original) (raw)

Journal of the Korea Institute of Information and Communication Engineering

Malicious network attacks such as DDoS has no clear measures, the damage is also enormous. In particular, in addition to a network failure, such as leakage of personal information and damage of the communication charge in the case of zombie smartphone is infected, is expected damages of various users. In this study, we extract the zombie smartphone's phenomena and features that appear while the zombie service is running and introduce a corresponding technique to prevent zombie smartphone.

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Development of Jumping Mechanism for Small Reconnaissance Robot

2009

In the future, most military activities will be replaced by robots. Because of many dangerous factors in battlefield, reconnaissance should be performed by robot. Reconnaissance robot should be small for not being detected, be light and simple structure for personal portability and overcome unexpected rough terrain for mission completion. In case of small and light robot, it can't get enough friction force for movement. Therefore small reconnaissance robot need jumping function for movement. In this paper we proposed a biologically inspired jumping mechanism. And we adjusted moment and jumping angle by using four bar linkage, especially varying coupler length.

Feature Extraction Algorithm for Distant Unmmaned Aerial Vehicle Detection

Jeonja gonghakoe nonmunji(2012), 2016

The effective feature extraction method for unmanned aerial vehicle (UAV) detection is proposed and verified in this paper. The UAV engine sound is harmonic complex tone whose frequency ratio is integer and its variation is continuous in time. Using these characteristic, we propose the feature vector composed of a mean and standard deviation of difference value between fundamental frequency with 1st overtone as well as mean variation of their frequency. It was revealed by simulation that the suggested feature vector has excellent discrimination in target signal identification from various interfering signals including frequency variation with time. By comparing Fisher scores, three features based on frequency show outstanding discrimination of measured UAV signals with low signal to noise ratio (SNR). Detection performance with simulated interference signal is compared by MFCC by using ELM classifier and the suggested feature vector shows 37.6% of performance improvement As the SNR increases with time, the proposed feature can detect the target signal ahead of MFCC that needs 4.5 dB higher signal power to detect the target.

배경잡음에 적응하는 진동센서 기반 목표물 탐지 알고리즘

Journal of the Institute of Electronics Engineers of Korea, 2013

We propose adaptive detection algorithm to reduce a false alarm by considering the characteristics of the random noise on the detection system based on a seismic sensor. The proposed algorithm consists of the first step detection using kernel function and the second step detection using detection classes. Kernel function of the first step detection is obtained from the threshold of the Neyman-Pearon decision criterion using the probability density functions varied along the noise from the measured signal. The second step detector consists of 4 step detection class by calculating the occupancy time of the footstep using the frist detected samples. In order to verify performance of the proposed algorithm, the detection of the footsteps using measured signal of targets (walking and running) are performed experimentally. The detection results are compared with a fixed threshold detector. The frist step detection result has the high detection performance of 95% up to 10m area. Also, the false alarm probability is decreased from 40% to 20% when it is compared with the fixed threshold detector. By applying the detection class(second step detector), it is greatly reduced to less than 4%.

Schur 알고리즘 ( Schur Algorithm for Sub-bottom Profiling )

2013

In this paper, we propose an algorithm for estimating media characteristics of sea water and subbottom multi-layers. The proposed algorithm for estimating reflection coefficients, uses a transmitted signal and reflected signal obtained from multiple layers of various shape and structure, and the algorithm is called Schur algorithm. The algorithm is efficient in estimating the reflection coefficients since it finds solution by converting the given inverse scattering problem into matrix factorization. To verify the proposed algorithm, we generate a transmit signal and reflected signal obtained from lattice filter model for sea water and subbottom of multi-level non-homogeneous layers, and then find that the proposed algorithm can estimate reflection coefficients efficiently.

A Study of the Cognitive Interface Design Process Based on SEP Models

2013

Objective: The aim of this study is to propose the design process suitable for developing the cognitive interface considering system engineering process (SEP) models. Background: Due to the cognitive workload in an operation of HMS, some cognitive interfaces have been developed. It is somehow difficult to use the developed cognitive interface in real working environment since they often showed a conflict to stereotyped interface. So it is necessary to develop the design process suitable for the more operator-specific interface. Method: Various SEP models were reviewed for selecting the suitable design process which might resolve the problem from design-specific interface. Results: The suitable process for designing cognitive interface was proposed considering currently usable SEP models. Conclusion: The findings from the study may be helpful for systematic approach to designing cognitive interface in digitalized environment, Application: The proposed design process would be applied ...

가중화된 GPS 정보와 지도정보를 활용한 실외 이동로봇의 위치추정

The Journal of Korea Robotics Society, 2011

Global positioning system (GPS) is widely used to measure the position of a vehicle. However, the accuracy of the GPS can be severely affected by surrounding environmental conditions. To deal with this problem, the GPS and odometry data can be combined using an extended Kalman filter. For stable navigation of an outdoor mobile robot using the GPS, this paper proposes two methods to evaluate the reliability of the GPS data. The first method is to calculate the standard deviation of the GPS data and reflect it to deal with the uncertainty of the GPS data. The second method is to match the GPS data to the traversability map which can be obtained by classifying outdoor terrain data. By matching of the GPS data with the traversability map, we can determine whether to use the GPS data or not. The experimental results show that the proposed methods can enhance the performance of the GPS-based outdoor localization.

Accuracy Improvement Scheme for Location Awareness based on UWB system

The Journal of the Institute of Webcasting, Internet and Telecommunication, 2011

In recent years, LBS(Location Based Service) is applied in many different fields. Therefore, various location-aware schemes have been studied. In the location awareness system using time dependent algorithm, TOA(Time of Arrival) or TDOA(Time Difference of Arrival) algorithm, distortion of a signal by AWGN(Additive White Gaussian Noise) and multi-path effects cause the degradation of location awareness performance. In this paper, the unexpected noise is eliminated by averaging multiple pulses in order to overcome the degradation of performance. Also, we research the technique for improving the performance of the location awareness by detecting direct-path signal with adjusting threshold.

OpenCL 및 Embedded GPU를 이용한 영상 특징 추출 및 파노라마 영상 생성의 병렬화

Journal of Broadcast Engineering, 2014

In this paper, we parallelize the popular feature detection algorithms, i.e. SIFT and SURF, and its application to fast panoramic image generation on the latest embedded GPU. Parallelized algorithms are implemented using recently developed OpenCL as the embedded GPGPU software platform. We compare the implementation efficiency and speed performance of conventional OpenGL Shading Language and OpenCL. Experimental result shows that implementation on OpenCL has comparable performance with GLSL. Compared with the performance on the embedded CPU in the same application processor, the embedded GPU runs 3~4 times faster. As an example of using feature extraction, panorama image synthesis is performed on embedded GPU by applying image matching using detected features.

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