• Convergence Security Journal
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• v.11 no.6
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• pp.25-30
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• 2011

MANET has a weak construction in security more because it is consisted of only moving nodes and doesn't have central management system. The DDoS attack is a serious attack among these attacks which threaten wireless network. The DDoS attack has various object and trick and become intelligent. In this paper, we propose the technique to raise DDoS detection rate by classifying abnormal traffic pattern. Cluster head performs sentinel agent after nodes which compose MANET are made into cluster. The decision tree is applied to detect abnormal traffic pattern after the sentinel agent collects all traffics and it judges traffic pattern and detects attack also. We confirm high attack detection rate of proposed detection technique in this study through experimentation.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1313-1325
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• 2017

Economic statistics such as GDP, consumer prices, balance of payments, and unemployment rates are regularly measured over time. One of the best way to understand economic statistics is to visualize economic statistics as a picture. This makes it easier to grasp patterns of economic statistics and to communicate with users. The web technologies and the visualization tools make it possible to create dynamic and interactive visualization of economic statistics. Statistics Korea and the Bank of Korea provide various data visualization relating to official statistics such as infographics and dynamic charts. This paper presents an overview of visualization of Statistics Korea and the Bank of Korea. It also discusses a future direction to explore the visualization of Korean economic statistics.

• Journal of the Korean Society for Railway
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• v.14 no.6
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• pp.515-525
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• 2011

In this study, Urban maglev is applied to inductive-loop speed and position detection system for the top-level classification system for the entire system, and performed functional analysis On-board signal equipment, Wayside-signal equipment divided by the reliability, availability, maintainability, and safety through analysis of the proposed formula. RDB and by applying a system service for each device was calculated to availability, safety analysis. The PHA, FMEA, HAZOP over the Top Event of the FTA is performed by presenting the results. This also shows approach methods and relative activities for project to accomplish and ensure the system requirements.

• KDI Journal of Economic Policy
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• v.17 no.2
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• pp.165-193
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• 1995

본 연구에서는 리카도가 자신의 "정치경제학(政治經濟學)과 조세(租稅)의 원리(原理)"(이하에서는"원리(原理)"라고 하겠음) 3판에 새로이 도입한 "기계(機械)"의 내용을 중심으로 기술진보(技術進步)가 고용(雇傭)에 미치는 영향(影響)에 대해 살펴보고자 하였다. 리카도는 당시 대부분의 주류 경제학자들과 마찬가지로 과학의 발전과 기술진보로 인한 새로운 기계(機械)의 도입은 근로자, 자본가 및 지주를 포함하는 모든 계급(階級)에게 유리한 결과를 가져오리라 생각하였다. 그러다가 그는 "원리(原理)" 3판을 작성하면서 이러한 자신의 견해가 잘못된 것임을 시인하고, 새로운 기계(機械)의 도입이 근로자(勤勞者)에게는 불리한 결과를 가져올 수 있음을 분석적인 방법으로 보여주었다. 그러나 이러한 리카도의 시도는 당시 및 후대의 경제학자들에 의해서도 지적되었듯이 부분적으로 논리적인 오류(誤謬)를 범하였다. 리카도의 논리적 오류를 수정하면서도 그의 문제의지(問題意識)을 부각시키기 위해 본 연구에서는 힉스에 의해 도입된 신(新)오스트리안(Neo-Austrian) 자본개념(資本槪念)과 이에 입각한 기술진보(技術進步)의 형태분류를 리카도의 분석틀에 적용시켰다. 그 결과 일정한 형태의 기술진보하에서는 수익성이 높은 기계(機械)가 도입될지라도 과도기적으로 고용(雇傭) 및 총생산물(總生産物)에 불리한 효과를 나타낼 수 있음을 보여주게 되었다. 그리고 과도기적으로 기계(機械)의 도입에 따른 기술적(技術的) 실업(失業)이 발생할 경우 그 기간에 영향(影響)을 주는 요인(要因)에 대해서도 살펴보고자 했다.

• IE interfaces
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• v.22 no.2
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• pp.126-134
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• 2009

As product quality and yield are essential factors in semiconductor manufacturing, monitoring the main manufacturing steps is a critical task. For the purpose, FDC(Fault detection and classification) is used for diagnosing fault states in the processes by monitoring data stream collected by equipment sensors. This paper proposes an FDC model based on decision tree which provides if-then classification rules for causal analysis of the processing results. Unlike previous decision tree approaches, we reflect the structural aspect of the data stream to FDC. For this, we segment the data stream into multiple subregions, define structural features for each subregion, and select the features which have high relevance to results of the process and low redundancy to other features. As the result, we can construct simple, but highly accurate FDC model. Experiments using the data stream collected from etching process show that the proposed method is able to classify normal/abnormal states with high accuracy.

• The Transactions of the Korea Information Processing Society
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• v.5 no.3
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• pp.620-632
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• 1998

This paper introduces a new teehniquc for reducing the compulsory misses of software-managed TLBs by prefetching necessary TLB entries before being used. This technique is not inherently limited to specific applications. The key of this scheme is to perform the prefetch operations to update the TLB entries before first accesses so that TLB misses can be avoided. For the identifications of the prefctch pages, the new classification is introduced, which is based 0n the view of an object code execution. Then, the algorithms and the implementation technique arc described. Using a quantitative analysis, the proposed scheme is evaluated to prove that it is a useful technique for the perronnall~~ ~nhan~"ment of the S/W managed TLBs. in addition, it is discussed that reducing the miss rate by the prefeteh scheme reduces the total miss penalty and bus traffics in S/W-managed TLBs.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.10
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• pp.2409-2416
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• 2014

In this paper, an automatic recognition algorithm for linearly modulated signals like PSK, QAM under noncoherent asynchronous condition is proposed. Frequency, phase, and amplitude characteristics of digitally modulated signals are changed periodically. By using this characteristics, cyclic moments and higher order cumulants based features are utilized for the modulation recognition. Hierarchial decision tree method is used for high speed signal processing and totally 4 feature extraction parameters are used for modulation recognition. In the condition where the symbol number is 4,096, the recognition accuracy of the proposed algorithm is more than 95% at SNR 15dB. Also the proposed algorithm is effective to classify the signal which has carrier frequency and phase offset.

• The KIPS Transactions:PartB
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• v.15B no.1
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• pp.69-72
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• 2008

This study aims to identify dependency structures in Korean sentences with the cascaded chunking. In the first stage of the cascade, we find chunks of NP and guess grammatical relations (GRs) using Support Vector Machine (SVM) classifiers for all possible modifier-head pairs of chunks in terms of GR categories as subject, object, complement, adverbial, etc. In the next stages, we filter out incorrect modifier-head relations in each cascade for its corresponding GR using the SVM classifiers and the characteristics of the Korean language such as distance between relations, no-crossing and case property. Through an experiment with a parsed and GR tagged corpus for training the proposed parser, we achieved an overall accuracy of 85.7%.

• The KIPS Transactions:PartB
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• v.13B no.2 s.105
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• pp.115-120
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• 2006

In This Paper, We Propose The Method To Reconstruct And Estimate Partially Occluded Elliptical Objects In Images From Overlapping And Cutting. We Present The Robust Method For Recognizing Partially Occluded Objects Based On Symmetry Properties, Which Is Based On The Contours Of Elliptical Objects. A Proposed Method Provides Simple Techniques To Reconstruct Occluded Regions Via A Region Copy Using The Symmetry Axis Within An Object. Based On The Estimated Parameters For Partially Occluded Objects, We Perform Object Recognition On The Classifier. Since A Proposed Method Relies On Reconstruction Of The Object Based On The Symmetry Properties Rather Than Statistical Estimates, It Has Proven To Be Remarkably Robust In Recognizing Partially Occluded Objects In The Presence Of Scale Changes, Object Pose, And Rotated Objects With Occlusion, Even Though h Proposed Method Has Minor Limitations Of Object Poses.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2007.06a
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• pp.464-465
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• 2007

Solid insulation exposed to voltage is degraded by electrical tree process. And the degradation of the insulation is accelerated by voltage application. For this experimental, specimen of electrical tree model is made by XLPE (cross-linked polyethylene). And the size of the specimen is $7*5*7\;mm^3$. Distance of needle and plane is 2 mm. Voltages applied for acceleration test are 12 kV to 15 kV. And distribution characteristic of degraded stage is studied too. As a PD detecting and data process, discharge data acquire from PD detecting system (Biddle instrument). The system presents statistical distribution as phase resolved. Moreover the processing time of electrical tree is recorded to know the speed of degradation according to voltage.