• The Transactions of the Korean Institute of Electrical Engineers
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• v.43 no.3
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• pp.504-514
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• 1994

Combinational automatic test pattern generators (CATPG) have already been commercialized because their algorithms are well known and practical, while sequential automatic test pattern generators(SATPG) have been regarded as impractical because they are computationally complex. A technique to use CATPG instead of SATPG for test generation of sequential circuits is proposed. Redesign of seauential circuits such as Level Sensitive Scan Design (LSSD) is inevitable to use CATPG. Various partial scan techniques has been proposed to avoid full scan such as LSSD. It ha sbeen reported that SATPG is required to use partial scan techniques. We propose a technique to use CATPG for a new partial scan technique, and propose a new CATPG algorithm for the partially scanned circuits. The partial scan technique can be another choice of design for testability because it is computationally advantageous.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.5
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• pp.395-399
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• 2009

In this work, we describe the syntactic tag prediction system for Korean using the decision tree and CRFs. Generally they select features by their intuition. It depends on their prior knowledge. In this works, we combine features systematically using the decision tree. We also analyze errors and optimize features for the best performance. From the result of experiments, we can see that the proposed method is effective for the syntactic tag estimation and will be helpful for the syntactic analysis.

• 발명특허
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• v.5 no.5 s.51
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• pp.18-21
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• 1980

히포크라테스(Hippokrates)이전의 그리스의학은 결코 의학이라고 부를수 없는 것이었다. B.C 11세기에 아스쿨레피오스(Asklepios)의 절이라고 불리는 $\lceil$병을 치료하는 절$\rfloor$이 있었다. 병자와 불구자들은 이 절에 와서 돼지와 양을 바치고 빌었다. 병은 신들이 인간을 달갑지 않게 여긴 결과 생긴 것이므로 건강을 회복하려면 물건을 바치고 정성을 들여야 한다고 믿었던 것이다. 그들은 절에 묵으면서 꿈을 꾸었고 중들은 해몽을 해서 병이 낫도록 도왔다. 때로는 약을 주기도 했다. 이 절의 중들은 강력한 의사승려의 조합을 이루었다.

• Journal of The Korean Association For Science Education
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• v.37 no.2
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• pp.323-334
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• 2017

Current science education aims to guide students as future responsible citizens to make informed decisions on socioscientific issues (SSI). In the authors' previous study, it was found that conceptions of nature of technology (NOT) were explicitly represented in various contexts of SSI with differentiated levels of understanding, and cases of the informed NOT understanding included the key features of well-reasoned SSI decision-making. Therefore, enhancing NOT understanding could be one of the elements to leverage students' informed SSI decision-making. In this study, we developed a rubric to assess NOT understanding in the context of SSI and applied it to evaluate the impact of SSI instruction. Participants were 58 college students who took an SSI course for 6 weeks. Before and after the SSI course, they were asked to write decision-making essays on the Golden Rice issue (a type of genetically modified food). As a result of analyzing the pre- and post decision-making essay using the rubric, it was found that NOT understanding was improved after the SSI course; in addition, the salient patterns of NOT changes were analyzed in detail in order to gauge the influence of the SSI classes. Implications for science education were discussed.

• Proceedings of the Optical Society of Korea Conference
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• 2002.07a
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• pp.126-127
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• 2002

본 논문에서는 최근, 차세대 정보보호 기술로 많은 연구가 이루어지고 있는 디지털 정보은폐(Digital Information hiding) 기술과 광정보처리 기술을 상호 보완적으로 이용한 새로운 복합 광-디지털 다중 정보은폐 및 실시간 추출 시스템을 구현하였다. 즉, 디지털 기술을 이용한 다중 정보은폐에서는 확산코드간에 랜덤성과 직교성을 보장할 수 있는 새로운 코드로써 의사랜덤 코드(Pseudo random code)와 하다마드 행렬(Hadamard matrix)을 상호보완적으로 조합하여 만든 스테고 키(stego key)를 사용하였으며 이를 이용하여 임의의 커버영상(cover image)에 다중의 정보를 은폐시킬 수 있는 새로운 기법을 제시하였다. 이와 같은 방법으로 은폐된 정보는 정보 은폐시 사용된 스테고 키성분이 정확하게 일치될 경우에만 추출될 수 있으므로 불법 사용자가 무한히 발생시킬 수 있는 랜덤시퀀스를 정확하게 재생하는 것은 거의 불가능함으로 강한 비화성을 가지며, 하다마드 행렬의 직교성으로 서로 다른 확산코드간의 상관성이 발생하지 않기 때문에 에러 없는 은폐정보의 추출도 가능하다. (중략)

• Journal of the Korean Institute of Telematics and Electronics
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• v.26 no.7
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• pp.106-111
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• 1989

A new EMG signal processing algorithm for SMUAP pattern classification is proposed. It checks the combination and regularity of ISI using a spike counter as a decision making routine, and performs SMUAP waveform alignment in frequency domain and selects spikes through FIR filtering. As a result, with the EMG signals recorded during 5 seconds at 10-50% MVC force level, the SMUAP ranged from five to nine units were classified and identification rate is greater than 55 percent using a concentric needle electrode. In the IBM PC/AT the processing time typically required 2 minutes.

• 월간낙농육우
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• v.34 no.10
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• pp.153-162
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• 2014

낙농가들은 향후 경영계획에 있어 규모확대(32%)보다는 현상유지(54%)를 더 원하고 규모축소(1.7%)와 낙농포기(3.4%)의사는 전년(7.7%)대비 2.6%P가 감소한 것으로 조사됐다. 그리고 낙농을 포기하는 주된 이유로는 환경문제가 꾸준히 1순위를 차지하고 있지만 이번에는 그 비율이 상대적으로 높아졌다. 최근 '가축분뇨의 관리 및 이용에 관한 법률'을 포함한 환경관련 규제가 강화된데 따른 것으로 보인다. 낙농가들은 국내 낙농업 전망에 대해 88%가 어려울 것으로 내다보고 있지만 10%정도는 '해볼만하다'는 낙관론도 보였다. 시급한 환경현안으로는 무허가 축사(39%)와 퇴비화시설(36%) 문제를 꼽는 낙농가가 가장 많았으며, 환경문제를 해결하기 위해 농가당 최소 5000만 원~2억 원의 추가 투자가 필요한 것으로 조사됐다. 또한 FTA시대에 가장 중요한 낙농대책으로는 '전국단위 낙농제도 개선'(35%)과 '제도적인 우유소비확대 마련'(29%) 등으로 나타났다. 목장의 토지이용과 관련한 규제사항으로는 가축사육제한구역(31%), 상수원수질보전대책지역(14%), 군사시설보호구역(13), 개발제한구역(8%) 순으로 나타났다. 지역별로는 경기도와 강원도의 경우 '군사시설보호구역' 때문이라는 응답이, 충청도와 경상도는 '가축사육제한구역' 때문이라는 응답이 가장 높은 것으로 조사됐다. 이번 조사는 협회 낙농정책연구소(소장 조석진)가 최근 국내 낙농의 경영현실과 당면과제에 대한 실태를 파악하고 이를 낙농정책수립에 필요한 기초자료로 제공하기 위해 지난 2014년 5월 19일부터 6월20일까지 한 달간 낙농조합의 협조를 얻어 전국의 6,000 농가 중 700 농가를 선정해 실시, 그중 설문에 참여한 542농가의 응답결과를 분석한 것이다. 낙농정책연구소는 이번 조사 결과를 '2014 낙농경영 실태조사' 책자로 발간해 유관기관 및 협회 도지회 등에 배포했다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.3C
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• pp.262-270
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• 2008

We propose a technique to protect digital images using the magnitude and orientation of their edges. The proposed technique uses the content-associated copyright message generated by combining the original copyright message with the magnitude and orientation of some edges of a digital image. It enables the distribution of the original copyright message without any distortion of original digital images by avoiding embedment of the original copyright message into images. In addition to the advantage in the image quality, it also has a relatively low computational complexity by using simple operations to generate the content-associated copyright message. To verify the proposed technique, we performed experiments on its robustness to the external attacks such as histogram equalization, median filtering, rotation, and cropping. Experimental results on restoring the copyright message from images distorted by attacks show that more than 90%, on the average, can be recovered.

• Journal of KIISE:Software and Applications
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• v.37 no.10
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• pp.788-801
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• 2010

Advancing of mobile device is remarkable, so the research on mobile input device is getting more important issue. There are lots of input devices such as keypad, QWERTY keypad, touch and speech recognizer, but they are not as convenient as typical keyboard-based desktop input devices so input strings usually contain many typing errors. These input errors are not trouble with communication among person, but it has very critical problem with searching in database, such as dictionary and address book, we can not obtain correct results. Especially, Hangeul has more than 10,000 different characters because one Hangeul character is made by combination of consonants and vowels, frequency of error is higher than English. Generally, suffix tree is the most widely used data structure to deal with errors of query, but it is not enough for variety errors. In this paper, we propose fast approximate Korean word searching system, which allows variety typing errors. This system includes several algorithms for applying general approximate string searching to Hangeul. And we present profanity filters by using proposed system. This system filters over than 90% of coined profanities.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.11
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• pp.206-216
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• 2013

The emotion plays a critical role in human's daily life including learning, action, decision and communication. In this paper, emotion discrimination classifier is designed to reduce system complexity through reduced selection of dominant features from biosignals. The photoplethysmography(PPG), skin temperature, skin conductance, fontal and parietal electroencephalography(EEG) signals were measured during 4 types of movie watching associated with the induction of neutral, sad, fear joy emotions. The genetic algorithm with support vector machine(SVM) based fitness function was designed to determine dominant features among 24 parameters extracted from measured biosignals. It shows maximum classification accuracy of 96.4%, which is 17% higher than that of SVM alone. The minimum error features selected are the mean and NN50 of heart rate variability from PPG signal, the mean of PPG induced pulse transit time, the mean of skin resistance, and ${\delta}$ and ${\beta}$ frequency band powers of parietal EEG. The combination of parietal EEG, PPG, and skin resistance is recommendable in high accuracy instrumentation, while the combinational use of PPG and skin conductance(79% accuracy) is affordable in simplified instrumentation.