• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.5B
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• pp.526-531
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• 2009

In this paper, we propose new novel technique (ILCT: Instruction-Level Correlation Technique) which can detect tempered instructions by software attacks or hardware attacks before their execution. In conventional works, due to both high complex computation of cipher process and low processing speed of cipher modules, existing secure processor architecture applying cipher technique can cause serious performance degradation. While, the secure processor architecture applying ILCT with FEC does not incur excessive performance decrease by complexity of computation and speed of tampering detection modules. According to experimental results, total memory overhead including parity are increased in average of 26.62%. Also, secure programs incur CPI degradation in average of $1.20%{\sim}1.97%$.

• KIISE Transactions on Computing Practices
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• v.21 no.6
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• pp.424-429
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• 2015

This research proposes a new system for calculating the total amount of coins in an image. The proposed system identified and classified the coins in the image in realtime. The image was obtained using a USB camera. Most previous coin calculation systems only used size information. If the size of an object was incorrectly detected, it caused a misclassification. Especially, in case of the former 10 won, it had high error rate because it was similar in size to the 50 won and 100 won coin. The proposed system combines hue histogram information with size information to reduce errors in the classification process. When we only used size information in the classification experiment of 2,290 coins, the recognition rate was on average about 88.2%. When we combined hue information with size information the recognition rate increased to about 99.3%.

• Korean Journal of Construction Engineering and Management
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• v.16 no.5
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• pp.86-96
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• 2015

According to previous research, the reason why Design-Build(hereinafter "DB") outperforms Design-Bid-Build(hereinafter "DBB") in terms of cost is due to less change orders(hereinafter "COs"). However, if biddropping was low for DBB resulting into increasing COs, then it would be wrong to conclude that DB is superior due to less COs. Therefore, in order to confirm such misjudgment, the attempt to comprehensively analyze biddropping, COs and delivery method was made as previous methods had analyzed either the relationship between delivery method and COs, or biddropping and COs. This research uses path analysis, which simultaneously compares effect sizes on COs according to delivery method and biddropping based on the project type, and validated the mediator effect. The research proved that DB outperforms DBB due to less COs cannot be validated as biddropping caused a mediator effect by intervening between the delivery method and COs for specific project types. Therefore, the mechanism of delivery method acts on COs through biddropping was established. Also, the identity of biddropping was investigated in a different perspective from previous research. Based on this result, this research is expected to help determine a delivery method by considering the mediator effect of specific projects and evaluate performance.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.555-555
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• 2016

본 연구는 낙동강 유역의 대표지점별 과거 수문자료의 타당성을 검토하고, 발생된 오류에 대해서는 표준화된 방법으로 수정 보완하여 하천유량 적정관리를 위한 기초 통계자료를 구축하는데 그 목적이 있다. 따라서 수문자료의 정확성 확보와 향후 자료의 활용성을 증대하기 위하여 낙동강홍수통제소의 수문관측소를 중심으로 수위, 수위-유량관계곡선식, 유량자료를 다양한 근거자료 및 수문자료의 특성 등을 고려하여 기초적인 통계자료 구축을 위해 노력하였다. 과거자료를 검토한 결과 2000년대를 기점으로 수위자료의 정확도가 향상되는 것으로 판단하였으며, 사용자에게 신뢰성 있는 자료를 제공하기 위하여 2000년도 이후의 수위자료와 수위-유량관계곡선식을 수집하여 검토?분석하였고, 자료 보완을 통하여 신뢰성 있는 유량자료를 구축할 수 있도록 하였다. 대상지점 12개소에 대하여 취득기간별에 따른 각종 기초통계 특성에 대하여 요약 정리하였다. 자료의 취득률은 대부분 90% 이상의 양호한 결과를 나타내었지만, 몇몇 지점에서는 수위자료의 불안정으로 인하여 60% 이하를 나타내는 지점 또한 존재하였다. 연평균 손실고는 평균강수량에서 유출고를 뺀 값을 나타내고, 이에 대한 유출률을 산정하였다. 또한 취득기간 동안의 평균 풍 평 저 갈수량을 분석하였다. 치수 및 이수 측면을 고려하여 최고유량과 이에 대한 발생일을 조사하였으며, 최저유량의 경우는 7일 평균 최저유량과 이에 대한 발생일을 조사하였다. 최저유량 발생일은 7일 중 중간일을 기준으로 표시하였고 조석이나, 지속적인 배수의 영향을 받는 지점은 홍수위 및 홍수량에 대해서만 산출하였다. 비록 2000년 이전 자료에 대해서는 현실적인 한계로 인하여 검토를 실시하지 못하였으나, 최소 10년간의 자료에 대해서는 신뢰성을 확보하기 위한 노력을 기울였으며, 이러한 경험으로 다시는 재현되는 않는 자연현상에 대한 현장단위에서의 관측 및 측정뿐만 아니라 이를 바탕으로 축적된 자료의 구축, 검증을 통한 DB 구축 등에 더욱 각고의 노력이 필요할 것으로 판단된다.

• Journal of IKEEE
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• v.18 no.3
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• pp.362-367
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• 2014

Music score recognition applications running on a smartphone, which is one of the necessities of modern people, have already been released on the market. These applications have the several limitations, especially the recognition rate of printed music scores is low so that many errors occur when the score is played. The major factor to decrease the recognition rate comes from poor tilt-correction of the captured staff-line. In this paper, we propose a efficient method that can automatically shoot the printed music score through preview analysis, which increases the recognition rate via tilt-correction.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.5
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• pp.747-753
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• 2018

In the license-plate recognition systems for automobile black Image, the license-plate image frequently has a shadow due to outdoor environments which are frequently changing. Such a shadow makes unpredictable errors in the segmentation process of individual characters and numbers of the license plate image, and reduces the overall recognition rate. In this paper, to improve the recognition rate in these circumstance, a license-plate image binarization algorithm is proposed removing the shadow effectively. The propose algorithm splits the license-plate image into the regions with the shadow and without. To find out the boundary of two regions, the algorithm estimates the curve for shadow boundary using the least-squares method. The simulation is performed for the license-plate image having its shadow, and the results show much higher recognition rate than the previous algorithm.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.38 no.12
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• pp.10-19
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• 2001

In this paper, we propose an effective but simple multi-rate parallel interference canceller(PIC) for the international mobile telecommunications-2000(IMT-2000) 3rd generation partnership project (3GPP) system. For effective multi-rate processing, we define the basic block as one symbol period of the dedicated physical control channel(DPCCH) having the lowest data rate and common to all users. Then, decision and interference cancellation are performed at every basic block. For an asynchronous channel, we propose an advance removal scheme that removes in advance multiple access interference(MAI) due to the next blockof other users with shorter delay. Introducing a pipeline structure at a sample base, we can implement efficiently the PIC using the advance removal scheme with a minimum hardware and no extra computations. Through computer simulations, we analyze the bit error rate(BER) performance of the proposed PIC with respect to signal-to-noise ratio(SNR) and the number of users.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.319-326
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• 2013

There are many software reliability models that are based on the times of occurrences of errors in the debugging of software. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. It is shown that it is possible to do asymptotic likelihood inference for software reliability models based on infinite failure model and non-homogeneous Poisson Processes (NHPP). Statistical process control (SPC) can monitor the forecasting of software failure and thereby contribute significantly to the improvement of software reliability. Control charts are widely used for software process control in the software industry. In this paper, we proposed a control mechanism based on NHPP using mean value function of logarithmic hazard learning effects property.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.44 no.6 s.360
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• pp.1-8
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• 2007

In wireless sensor network which uses limited battery, power consumption is very important factor for the survivality of the system. By using low-power communication to reduce power consumption, error rate is increased in typical conditions. This paper analyzes power consumption of specific error control coding (ECC) implementations. With identical link quality, ECC provides coding gain which save the power for transmission at the cost of computing power. In sensor node, transmit power is higher than computing power of Micro Controller Unit (MCU). In this paper, Viterbi algerian is applied to the low-transmit-power sensor networks in terms of network power consumption. Practically, Viterbi algorithm presents 20% of reduction of re-transmission in compared with Auto Repeat Request (ARQ) system. Furthermore, it is observed that network power consumption is decreased by almost 18%.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.5
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• pp.892-898
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• 2012

Rough classification methods are used to improving the recognition speed in many character recognition problems. In this case, some irreversible result can occur by an error in rough classification. Methods for duplicating each model in several classes are used in order to reduce this risk. But the errors by rough classfication can not be completely ruled out by these methods. In this paper, an recognition method is proposed to increase speed that matches models selectively without any increase in error. This method constructs a model graph using similarity between models. Then a search process begins from a particular point in the model graph. In this process, matching of unnecessary models are reduced that are not similar to the input pattern. In this paper, the proposed method is applied to the recognition problem of handwriting numbers and upper/lower cases of English alphabets. In the experiments, the proposed method was compared with the basic method that matches all models with input pattern. As a result, the same recognition rate, which has shown as the basic method, was obtained by controlling the out-degree of the model graph and the number of maintaining candidates during the search process thereby being increased the recognition speed to 2.45 times.