• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.53.6-53
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• 2001

In this paper, we are concerned with a tracking filter algorithm which can track a maneuvering target. Among the novel tracking filter algorithms, the input estimation (IE) filter can be summarized as estimating the unknown maneuver input and compensating the state according to the estimated input, and the variable dimension filter (VDF) can be summarized as detecting the maneuver of target and changing the dimension of the target dynamics to accomodate the maneuver of target They have some goods and bads with respect to each other. The variable dimension filter with input estimation (VDIEF) is constructed by combining the two filtering algorithms. However, it requires too much computational burden while it has good performance. We propose another variable dimension with input estimation ...

• Communications for Statistical Applications and Methods
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• 제26권5호
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• pp.497-506
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• 2019

Forecasting the U.S. employment level is made using machine learning methods of the artificial neural network: deep neural network, long short term memory (LSTM), gated recurrent unit (GRU). We consider the big data of the federal reserve economic data among which 105 important macroeconomic variables chosen by McCracken and Ng (Journal of Business and Economic Statistics, 34, 574-589, 2016) are considered as predictors. We investigate the influence of the two statistical issues of the dimension reduction and time series differencing on the machine learning forecast. An out-of-sample forecast comparison shows that (LSTM, GRU) with differencing performs better than the autoregressive model and the dimension reduction improves long-term forecasts and some short-term forecasts.

• 한국기계가공학회지
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• 제21권9호
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• pp.56-62
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• 2022

This study analyzed the output precision of 3D printing methods. The inner impeller of the centrifugal compressor was printed in as a sheet with 100% packing density using two methods: field deposition modelling and stereolithography. Dimensional differences between the initial CAD and printed models were evaluated using a 3D scanner. To investigate the dimensional characteristics of the 3D printed impeller, 3D dimension analysis and point dimension analysis were performed. The point dimension analysis was divided into 3D and 2D for comparative analysis.

• Journal of Information Processing Systems
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• 제19권3호
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• pp.323-333
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• 2023

Facial expression recognition can aid in the development of fatigue driving detection, teaching quality evaluation, and other fields. In this study, a facial expression recognition method was proposed with a residual masking reconstruction network as its backbone to achieve more efficient expression recognition and classification. The residual layer was used to acquire and capture the information features of the input image, and the masking layer was used for the weight coefficients corresponding to different information features to achieve accurate and effective image analysis for images of different sizes. To further improve the performance of expression analysis, the loss function of the model is optimized from two aspects, feature dimension and data dimension, to enhance the accurate mapping relationship between facial features and emotional labels. The simulation results show that the ROC of the proposed method was maintained above 0.9995, which can accurately distinguish different expressions. The precision was 75.98%, indicating excellent performance of the facial expression recognition model.

• 대한수학회논문집
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• 제38권3호
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• pp.733-740
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• 2023

Let R be a commutative ring and M be an R-module. The dimension graph of M, denoted by DG(M), is a simple undirected graph whose vertex set is Z(M) ⧵ Ann(M) and two distinct vertices x and y are adjacent if and only if dim M/(x, y)M = min{dim M/xM, dim M/yM}. It is shown that DG(M) is a disconnected graph if and only if (i) Ass(M) = {𝖕, 𝖖}, Z(M) = 𝖕 ∪ 𝖖 and Ann(M) = 𝖕 ∩ 𝖖. (ii) dim M = dim R/𝖕 = dim R/𝖖. (iii) dim M/xM = dim M for all x ∈ Z(M) ⧵ Ann(M). Furthermore, it is shown that diam(DG(M)) ≤ 2 and gr(DG(M)) = 3, whenever M is Noetherian with |Z(M) ⧵ Ann(M)| ≥ 3 and DG(M) is a connected graph.

• 한국생활과학회지
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• 제22권1호
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• pp.99-116
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• 2013

The purpose of this research is to explore the levels of luxury-frugality consumption of the female consumers and classify their types on luxury-frugality consumption behaviors. Total of 479 on-line questionnaires were surveyed nationwide for this research in February, 2012. Statistical analysis was achieved by using t-test, one-way ANOVA, Duncan's multiple range test, ${\chi}^2$, and Ward' hierarchical cluster analysis with a total of 479 questionnaires. The research results are summarized as follows: First, the overall luxury-frugality consumption average mark of female consumers was 2.44. Second, all surveyed female consumers were classified into four types based on the means scores of two dimension luxury-frugality consumption behaviors. A total 26.51% of female consumers belonged to Type 1 (named as luxury consumption group) where females scored high points on two dimension luxury consumption behaviors. Type 2 (named as excessive consumption group) occupied 32.78% and this group scored low on the luxurious consumption but high on the overconsumption. Type 3 (named as prefer prestige group) occupied 28.39% and this group scored low on the overconsumption but high on the luxurious consumption. Type 4 (named as frugal consumption group) had 12.32% of females whose scores of two dimension luxury-frugality consumption behaviors were low.

• 한국정보통신학회논문지
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• 제13권2호
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• pp.376-381
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• 2009

영상의 압축, 인식 그리고 복원 등은 디지털 영상처리 기술의 한 부분으로 영상을 처리하는 가운데 잡음이 발생된다. 발생되는 잡음은 원 영상을 훼손하게 되며, 이러한 잡음으로부터 원 영상을 보존하는 것이 이미지 필터의 사용목적이다. 영상에 사용되는 기본적인 필터는 2차원 필터의 구조를 갖는다. 구현하는 방법에는 1차원 필터를 반복하여 사용하는 방법과 비분리형 2차원 영상 필터를 사용하는 방법이 있고 마스크를 이용하는 공간 영역의 필터 처리법은 후자에 속한다. 이러한 이미지는 기존의 1차 필터와 같이 잡음에 따라 각기 달리 사용되며, 임펄스 잡음 제거하기 위하여서는 다양한 메디안 필터가 사용되고 있다. 본 논문에서는 임펄스 잡음에 강한 변형된 메디안 필터를 제시하였으며, 향상된 성능을 확인하기 위해 기존의 제시된 필터와 비교하였다.

• 한국수자원학회논문집
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• 제32권3호
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• pp.291-300
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• 1999

하천치수를 고려한 프랙탈 차원의 개념을 실제 강우-유출 모형에 적용시키는 방안으로써 스나이더 합성단위유량 도법을 택하였으며, 5대강 수계의 29개 유역에 대한 지형자료와 관측단위유량도 자료를 이용하여 4가지 형태의 스나이더형 관계식을 유도하였다. 29개 유역에 대한 분석과 2개 유역에 대한 검증 결과 하천길이의 프랙탈적인 성질을 이용하고 기계산된 자료는 기계산된 값을 이용하는 스나이더형 관계식이 가장 좋은 결과를 보여주었다. 하천차수 유역중심에서 출구까지의 하천길이( Lca )중 Lca 는 프랙탈적인 성질이 없고 유역중심의 상류에 해당하는 주하천 구간인 ( Lma - Lca )만이 1.027의 프랙탈 차원을 갖는다는 가정을 하였으며, 이를 이용하여 우리날 수계를 대표 할 수 있으며 작업대상 지형도축척에 의해 발생하는 하천길이의 프랙탈적인 영향을 고려할 수 있는 새로운 스나이더형 공식을 제안하였다.

• 품질경영학회지
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• 제29권4호
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• pp.170-178
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• 2001

The objectives of this paper are to introduce some characteristics of two-dimensional concept of quality and to find out the possibility of the application of two-dimensional quality concept for improving the service quality. The concept was applied to small & medium-sized foreign language Institute. In order to select some service quality dimensions and decide attractive qualify factors among numerous factors, factor analysis and frequently analysis were used. The result. is that all quality factors in empathy dimension are identified as attractive quality factors. This implies that customization program is necessary in small & medium-sized foreign language institutes for improving their competitiveness. However, all quality factors in tangibles dimension are identified as must-be quality factors.

• Kyungpook Mathematical Journal
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• 제59권3호
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• pp.563-589
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• 2019

Let W and V be manifolds of dimension m + 2, M a locally flat submanifold of V whose dimension is m. Let $f:W{\rightarrow}V$ be a homotopy equivalence. The problem we study in this paper is the following: When is f homotopic to another homotopy equivalence $g:W{\rightarrow}V$ such that g is transverse regular along M and such that $g{\mid}g^{-1}(M):g^{-1}(M){\rightarrow}M$ is a simple homotopy equivalence? $L{\acute{o}}pez$ de Medrano (1970) called this problem the weak h-regularity problem. We solve this problem applying the codimension two surgery theory developed by the author (1973). We will work in higher dimensions, assuming that $$m{\geq_-}5$$.