• Korean Journal of Cognitive Science
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• v.1 no.2
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• pp.317-346
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• 1989

A congnitive shape decomposition method that agrees with human intuition is proposed for the conceptual recognition from sillouettes of objects. Descriptions specifying the structure of shape in terms of meaningful parts and relations have cognitive power and anthropomorphism. In general, man-made objects have a lot of collinear lines and regularity. For the cognitive decomposition of man-made objects, many heuristic rules based on the cognitive experimentation are applied on the context of collinerarity and regularity. The cognitive shape decomposition for the natural shape is carried out by analyzing the possible configuraitions of vertices and line segments for one concave vertex. A cost function for the configuation is designed by weighted sum of five criteria such as, the length of split line segment, the number of split line segments at concave vertex, the proximity of concave vertex, and the correspondence of vertices. These criteria are vased on the property of human perception such as proximtiy, symmetry, and simplicity. The most promising vertex os selected among three set of visible vertices by evaluating the cost function. A number of experiments conducted on the different types of shapes shows that the results correspond with human intuition.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.3
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• pp.105-111
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• 2020

We defined Jeju Wind Castle and analyzed the relationship between Hallasan-Oreum-Batdam, the main subject, for the first time. In Jeju, 1.5m high Batdam(Black Silk Road), 368 Oreums, Hallasan Mountain 1950m are all unique scenery. The verification of this paper demonstrates that Samdasoo's groundwater extraction sea level is equal to the height of Hallasan and that this problem is mathematically complete in neutral plane theory. Donnaeko(700meters above sea level)-Baeknokdamdongneung-Jindallebat-Seongpanak-Gyorae(453 meters)-Witsaeoreum(1700meters) is a rain belt that hits the low-air pressure air-conditioned North Pacific humidity rising from the southeast and the high-pressure cold air of Hallasan Peak. It rains a lot because - and + are neutral plane, which adds to zero. Hallasan is called Jinsan in Jeju history. The answer is Wind Castle. The number of Oreum in Jeju is 369 including Hallasan, and Batdam, which is about 1.5m high, does not collapse even with a typhoon blowing over 50m/s. Because the wind castle's core is 1.5 meters of Batdam and it is a triangular number.

• Journal of the Korean Geographical Society
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• v.49 no.4
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• pp.563-584
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• 2014

This study discusses the reasonable point of views and categories that meet legalistic requisitions and reflect academic conceptions concerns. To approach these thesis, the author thought that 'Myeongseung[名勝] as a cultural landscape' is a useful standpoint, and reviewed major focuses of recent discussions on the evaluation of world heritage theoretically. As a result, three kinds of categories for the value-description of Myeongseung are proposed. First category is 'connectional values' which refer to the connectional values between tangible and intangible values. Second category is 'sustainable values' which are about the sustainability of relationships between human and nature(environment). Third category is 'enjoyable values' that concern experiential facet of Myeongseung from the landscape welfare.

• The Journal of the Korea Contents Association
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• v.7 no.6
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• pp.44-51
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• 2007

For real-time recognizing of model objects in remote position a new Neural Networks algorithm is proposed. The proposed neural networks technique is the real time computation methods through the inter-node diffusion. In the networks, a node corresponds to a state in the quantized input space. Each node is composed of a processing unit and fixed weights from its neighbor nodes as well as its input terminal. The most reliable algorithm derived for real time recognition of objects, is a dynamic programming based algorithm based on sequence matching techniques that would process the data as it arrives and could therefore provide continuously updated neighbor information estimates. Through several simulation experiments, real time reconstruction of the nonlinear image information is processed. 1-D LIPN hardware has been composed and various experiments with static and dynamic signals have been implemented.

• 한국신재생에너지학회:학술대회논문집
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• 2011.11a
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• pp.176.1-176.1
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• 2011

세계적으로 석유 기반 자원의 고갈에 따른 부족, 기후변화협약 및 환경규제 강화에 의해 세계적으로 바이오소재를 이용하고자 하는 연구와 더불어 유리강화복합재료의 대체물질로 적합한 천연섬유를 보강재로 사용하는 바이오복합재료의 연구 또한 활발하게 진행되고 있다. 최근 새로운 신재생에너지원으로 각광 받고 있는 바이오에너지 중 해조류는 가장 자연친화적이고 생산력이 뛰어난 바이오매스로 알려져 있다. 해조류는 바닷물 속에 녹아 있는 탄소를 흡수할 뿐만 아니라 광합성을 통해서도 탄소를 흡수하면서 성장하기 때문에 탄소흡수원의 역할을 하게 되며, 해조류 바이오에너지를 생산할 경우 화석연료를 대체하여 지구온난화의 주범인 온실가스를 감축하는 기능을 한다. 본 연구에서는 해조류를 이용한 바이오에너지 생산 공정에서 2차적으로 발생하는 부산물을 보강재로 사용한 바이오복합재료의 제조와 제조된 바이오복합재료의 열적 특성 및 동역학적 특성을 분석하였다. 해조류 부산물의 화학적 전처리에 따른 Thermogravimetric analysis(TGA) 분석 결과로 cellulose 함량이 가장 높고 불순물이 적은 황산 처리한 파래를 이용해 파래/Polypropylene(PP) 바이오복합재료를 다양한 보강비율 (20-50wt%)로 압축성형 하였다. 파래/PP 바이오복합재료의 저장탄성률은 파래 함량이 40wt%일 때 4.0 Gpa으로 최대값을 보였으며 이는 PP 매트릭스와 비교했을 때 약 8.1% 향상된 결과이다. 파래/PP 바이오보합재료의 열팽창 특성은 파래 함량이 증가함에 따라 열팽창계수가 낮아지는 경향으로 50wt%일 때 가장 낮은 값을 나타내었으며 이는 PP 매트릭스와 비교했을 때 약 56% 향상된 결과이다. 따라서 비생분해성 고분자에 새로운 신재생 바이오매스인 해조류를 보강재로 사용하여 열적 특성 및 동역학적 특성이 향상된 친환경적인 바이오복합재료의 제조 가능성을 확인하였다.

• School Mathematics
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• v.15 no.3
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• pp.633-650
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• 2013

The aim of this paper is to explore and understand, using in-depth interviews, the participant's interests and discourse analytic expressions in studying the notion of infinity and limit. In addition we tried to understand how the participant's ways of dealing with math and thinking patterns on the polygons whose boundary is infinite but area is finite as they brought up such examples. Further follow-up questions are posed on the infinite sum of a smallest number close to 0 and the sum of infinite sets of different smallest numbers close to 0. Larger aspects of two pre-service teachers' subjective thinking patterns and colloquial discourses were sketched by contrasting the three posed tasks. Cross case discussions are provided with several suggestions for the future research directions.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.125-125
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• 2011

본 연구에서는 기후변화에 의한 자연재해 취약성을 정량적으로 분석하기 위하여 기상인자와 재해발생으로 인한 피해액의 상관관계를 이용하였다. 재해로 인한 피해액은 1994년부터 2008년까지 15년간 전국 시군별로 피해액을 집계한 자료를 이용하였으며, 우리나라 58개 강우관측소의 일강수량 자료를 이용하여 재해에 영향을 줄 수 있는 네 가지 인자를 추출하였고, 연도별 태풍 발생 횟수도 하나의 기상인자로 고려하였다. 피해액의 규모는 가뭄, 화재, 태풍 및 해일 등 재해발생 유형에 따라서도 영향을 받겠지만, 기후변화 시나리오에 의해 예측할 수 있는 대표적인 미래 추정값은 강수량과 온도 등이며, 결국 재해발생 유형별 시나리오에 의한 재해규모 예측이 아닌 기후변화 시나리오에 의한 미래 재해발생 규모 모형을 구축하기 위해서는 관련 인자로서 강수량으로부터 추출한 인자들을 고려할 수밖에 없을 것이다. 일강수량으로부터 추출한 네 가지 영향인자들은 80mm이상 일강수량 발생일수, 80mm이상 일강수량의 합, 80mm이상 강우의 발생 간격이 30일 이하인 횟수 및 연최대강수량이다. 우선 광역시와 도별로 전국 58개 관측소를 분류하고, 해당 관측소들로부터 추출된 인자들의 평균값을 이용하여 연구를 진행하였다. 미래 강수량 자료는 국립기상연구소의 A2시나리오를 통계학적 Downscaling을 통해 재생산한 자료를 이용하였다. 예측모형은 Bayesian 모형을 기반으로 DEXP(double exponential distribution) 확률분포를 이용하였다. 재해피해액 를 아래와 같이 비정상성 모형으로 구성하였으며, 위치매개 변수의 확률분포를 네 가지 기상인자에 의한 회귀식으로 구성하였다. Y damage costs) = dexp(${\mu}(t),\tau(t)$) $p({\mu}(t))\sim(abs({\alpha}+{\alpha}_1X_1+{\alpha}_2X_2+{\alpha}_3X_3+{\alpha}_4X_4,\;\sigma_{\alpha}^2)$ $p(\tau){\sim}G(k,s)$.

• Korean Journal of Microbiology
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• v.53 no.4
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• pp.316-319
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• 2017

The antibiotic resistant genes (ARG) and mobile genetic elements (MGE) were investigated with the effluent of waste-water treatment plant (WWTP), and river waters of upstream and downstream in order to elucidate the effect of effluent on antibiotic resistance in a natural river. Total numbers of 134~183 of ARG and MGE were detected and the abundance of ARG and MGE was 0.063~0.422 copies per one of 16S rRNA gene in three water samples. Effluent sample contained the highest amount of the total number and abundance of ARG and MGE whereas total viable cells were observed in the lowest amount among the three samples. This indicated that the genes were originated from cells died during the wastewater treatment process. In addition, the co-relationship of abundance between ARG and MGE suggested that acquired resistance was a prevalent mechanism among the antibiotic-resistant bacteria existing in WWTP.

• Applied Chemistry for Engineering
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• v.22 no.6
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• pp.697-702
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• 2011

Ion exchange resins have been synthesized from chloromethylated styrene-1,4-divinylbenzene (DVB) with 1%, 2%, 5% and 15%-crosslinkage and macrocyclic ligand of $OenNdien-H_4$ by copolymerization. The adsorption characteristics of uranium (${UO_2}^{2+}$), potassium ($K^+$) and neodymium ($Nd^{3+}$) metallic ions have been investigated. The synthesis of these resins was confirmed by content of chlorine, element analysis, and IR-spectrum. The effects of pH, time, and crosslinkage on adsorption of metallic ions were also studied. The uranium ion showed the fast adsorption on the resins above pH 3. The optimum equilibrium time for the adsorption of metallic ions was about two hours. The adsorption selectivity determined in methanol solution was in increasing order uranium (${UO_2}^{2+}$) > potassium ($K^+$) > neodymium ($Nd^{3+}$) ion. Moreover, the adsorption was increased with the crosslinkage concentration in order of 1%, 2%, 5% and 15%-crosslinkage resin.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.27 no.1
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• pp.8-14
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• 2023

The existing self-supervised learning-based CutPaste generated synthetic data by cutting and attaching specific patches from normal images and then performed anomaly detection. However, this method has a problem in that there is a clear difference in the boundary of the patch. NSA for solving these problems have achieved higher anomaly detection performance by generating natural synthetic data through Poisson Blending. However, NSA has the disadvantage of having many hyperparameters that need to be adjusted for each class. In this paper, synthetic data similar to normal were generated by a simple method of making the size of the synthetic patch very small. At this time, since the patches are so locally synthesized, models that learn local features can easily overfit synthetic data. Therefore, we performed anomaly detection using gMLP, which learns global features, and even with simple synthesis methods, we were able to achieve higher performance than conventional self-supervised learning techniques.