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Data Computerization for the Rural Sattlement Project (농어촌 정주권 사업을 위한 자료 전산화)

  • Lee, Jae-Kee;Choi, Seok-Geun;Cho, Jae-Ho;Lee, Kuo-Sae
    • Journal of Korean Society for Geospatial Information Science
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    • v.2 no.1 s.3
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    • pp.81-91
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    • 1994
  • A living environment of filming and fishing village is on the serious conditions because of the situation of rural exodus, import of farm products from advanced nations and various other factors. This study devised an improvement project of a group village and computerized related data connected with one in order to promote poor living conditions of farmers and fishermen to the urban level. In this study, we show that we can give necessary information when we build up integration system as well as we can expect quickness and correctness of a work management with computer for related data about an production project of a group village at farming and fishing village. In addition it is show that is possible to guide management data when we undertake revision and repair of facilities rapidly and can support an intensive decision among alternative plans.

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Avoiding Automatic Android App Analysis by Detecting Random Touch Generation (무작위 터치 발생 탐지를 이용한 안드로이드 앱 자동 분석 회피에 관한 연구)

  • Yun, Han Jae;Lee, Man Hee
    • Convergence Security Journal
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    • v.15 no.7
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    • pp.21-29
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    • 2015
  • As the number of malicious Android applications increases rapidly, many automatic analysis systems are proposed. Hoping to trigger as many malicious behaviors as possible, the automatic analysis systems are adopting random touch generation modules. In this paper, we propose how to differentiate real human touches and randomly generated touches. Through experiments, we figured out that the distance between two consecutive human touches is shorter than that of random generation module. Also we found that the touch speed of human is also limited. In addition, humans rarely touch the outer area of smartphone screen. By using statistics of human smartphone touch, we developed an algorithm to differentiate between human touches and randomly generated touches. We hope this research will help enhance automatic Android app analysis systems.

A Localized Adaptive QoS Routing Scheme Using POMDP and Exploration Bonus Techniques (POMDP와 Exploration Bonus를 이용한 지역적이고 적응적인 QoS 라우팅 기법)

  • Han Jeong-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.3B
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    • pp.175-182
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    • 2006
  • In this paper, we propose a Localized Adaptive QoS Routing Scheme using POMDP and Exploration Bonus Techniques. Also, this paper shows that CEA technique using expectation values can be simply POMDP problem, because performing dynamic programming to solve a POMDP is highly computationally expensive. And we use Exploration Bonus to search detour path better than current path. For this, we proposed the algorithm(SEMA) to search multiple path. Expecially, we evaluate performances of service success rate and average hop count with $\phi$ and k performance parameters, which is defined as exploration count and intervals. As result, we knew that the larger $\phi$, the better detour path search. And increasing n increased the amount of exploration.

Development of Auto Sorting System for T Type Welding nut using A Vision Inspector (비전 검사기를 활용한 T형 용접너트 자동 선별시스템 개발)

  • Song, Han-Lim;Hur, Tae-Won
    • 전자공학회논문지 IE
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    • v.48 no.1
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    • pp.16-24
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    • 2011
  • In this paper, we developed a auto sorting system for T type welding nut using a vision inspector. We used edge and thread detection with histogram of image which is captured by machine vision camera. We also used a binary morphology operation for a detection of spot. As a result we performed numeric inspection of 0.1mm accuracy. This is impossible in old sorting system and inspector with naked eye. Also, we reduced the manufacturing unit cost to 25% and improved a production efficiency to 330%.

A Study on Multiple Target Tracking Using Adaptive Neural Network and Mosaic Background Extraction (모자이크 배경이미지 추출과 적응적 신경망을 이용한 다중 보행자 추적 시스템에 관한 연구)

  • 서창진;양황규
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.8
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    • pp.1802-1808
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    • 2003
  • In this paper, we propose a method about the extraction of the pedestrian tracking trajectory in the road and we used the method of mosaic background extraction and adaptive neural network for automatic pedestrian tracking system. We used mosaic background extraction to overcome ghost phenomenon. And we detected pedestrian using differential image analysis. We used adaptive neural network for multiple pedestrian tracking that non­rigid form moving. The ART2 network is capable of detecting the mass­centers of moving objects within one frame. The history of neurons positions in the sequential frames approximates the traces of the targets. The experiments done with the network in simulated environment show promising results.

Impact of Dynamic Load Model on Short-Term Voltage Stability of Korea Power System and Estimation of Dynamic Load Model Parameters (국내 계통의 단기 전압 안정도에 대한 부하 모델의 영향성 검토 및 부하 모델 파라미터 선정)

  • Moon, Jaemin;Kim, Jae-Kyeong;Hur, Kyeon;Nam, Suchul;Kim, YongHak
    • KEPCO Journal on Electric Power and Energy
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    • v.5 no.1
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    • pp.17-24
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    • 2019
  • In this paper, we analyzed the effect of power system load model on the short-term voltage stability analysis results. First, we introduced common load models. We also confirmed that some load models can not represent actual system phenomena even if the model parameters are optimized. Also, we studied about the influences of load parameters and regional characteristics of load model on the sort-term voltage stability of KEPCO power system considering the contingency. The results showed that the importance of selecting a load model was confirmed again. And we recognized about it can be understood that it should reflect the load characteristics of the area near the assumed contingency more accurately.

Efficient Authentication Protocol for Low-Cost RFID System (저비용 RFID 시스템에 적합한 효율적인 인증 방법)

  • Kim, Jin-Ho;Seo, Jae-Woo;Lee, Pil-Joong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.18 no.2
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    • pp.117-128
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    • 2008
  • Compared with the existing bar code system, RFID system has lots of advantages such as it identifies automatically massive objects. We might anticipate RFID technology will be a substitution for an optical bar code system in the near future. However, their feature that uses radio waves may cause various security problems. Many kinds of solutions have been researched to overcome these security problems. In this paper, we analyze the previous proposed protocols. And then, we categorize RFID authentication into two types according to the synchronization requirement between a Back-end Database and a Tag. In addition, we introduce the previous proposed approaches to tag search problem in RFID authentication. And we propose an efficient method which provides fast tag search by using membership test algorithm, a Bloom filter.

Development of Glass-Beads Rainbow Experimental Apparatus for Analyzing the Principle of Rainbow Formation (무지개 생성 원리 분석을 위한 유리구슬 무지개 실험장치 개발)

  • Son, Moonkyu;Kwon, Munho;Choi, Ho-Meoyng
    • Journal of Science Education
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    • v.45 no.3
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    • pp.326-335
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    • 2021
  • In this study, we developed an experimental apparatus to study the principle of rainbow formation. The rainbow is formed through the dispersion, reflection, and refraction of light on water droplets. However, the rainbow cannot be made from a single drop of water. Thus, we devised an apparatus to observe the principle behind the rainbow formation caused by light rays on many water drops. This we deemed would help students understand the formation of the rainbow. We used glass beads as water drops to reproduce the rainbow phenomena. We also materialized the rainbow by changing various variables such as the position of the observer and the height of the light source, etc.

Target Classification Algorithm Using Complex-valued Support Vector Machine (복소수 SVM을 이용한 목표물 식별 알고리즘)

  • Kang, Youn Joung;Lee, Jaeil;Bae, Jinho;Lee, Chong Hyun
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.4
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    • pp.182-188
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    • 2013
  • In this paper, we propose a complex-valued support vector machine (SVM) classifier which process the complex valued signal measured by pulse doppler radar (PDR) to identify moving targets from the background. SVM is widely applied in the field of pattern recognition, but features which used to classify are almost real valued data. Proposed complex-valued SVM can classify the moving target using real valued data, imaginary valued data, and cross-information data. To design complex-valued SVM, we consider slack variables of real and complex axis, and use the KKT (Karush-Kuhn-Tucker) conditions for complex data. Also we apply radial basis function (RBF) as a kernel function which use a distance of complex values. To evaluate the performance of the complex-valued SVM, complex valued data from PDR were classified using real-valued SVM and complex-valued SVM. The proposed complex-valued SVM classification was improved compared to real-valued SVM for dog and human, respectively 8%, 10%, have been improved.

The Optimal Number of Transmit Antennas Maximizing Energy Efficiency in Multi-user Massive MIMO Downlink System with MRT Precoding (MU-MIMO 하향링크 시스템에서의 MRT 기법 사용 시 에너지 효율을 최대화하는 최적 송신 안테나의 수)

  • Lee, Jeongsu;Han, Yonggue;Lee, Chungyong
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.11
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    • pp.33-39
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    • 2014
  • We propose an optimal number of transmit antennas which maximizes energy-efficiency (EE) in multi-user massive multiple-input multiple-output (MIMO) downlink system with the maximal ratio transmission (MRT) precoding. With full channel state information at the transmitter (CSIT), we find a closed form solution by partial differential function with proper approximations using average channel gain, independence of individual channels, and average path loss. With limited feedback, we get a solution numerically by the bisection with approximations in the same manner, and analyze an effect of feedback bits on the optimal number of transmit antennas. Simulation results show that the optimal numbers of transmit antenna getting from proposed closed form solution and exhaustive search are nearly same.