• 제어로봇시스템학회논문지
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• 제8권11호
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• pp.976-983
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• 2002

We presents a modified variable dimension filter with input estimation for maneuvering target tracking. The conventional variable dimension filter with input estimation(VDIE) consists of the input estimation(IE) technique and the variable dimension(VD) filter. In the VDIE, the IE technique is used for estimation of a maneuver onset time and its magnitude in the least square sense. The detection of the maneuver is declared according to the estimated magnitude of the maneuver. The VD filter structure is applied for the adaptation to the maneuver of the target after compensating the filter parameter with respect to the estimated maneuver when the detection of the maneuver is declared. The VDIE is known as one of the best maneuvering target tracking filter based on a single filter. However, it requires too much computational burden since the IE technique is performed at every sampling instance and thus it is computationally inefficient. We propose another variable dimension filter with input estimation named 'Modified VDIE' which combines VD filter with If technique. Modified VDIE has less computational load than the original one by separating maneuver detection and input estimation. Simulation results show that the proposed VDIE is more efficient and outperforms in terms of computational load.

• 충청수학회지
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• 제21권2호
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• pp.157-163
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• 2008

We study essentially disjoint one dimensionally indexed classes whose members are distribution sets of a self-similar Cantor set. The Hausdorff dimension of the union of distribution sets in a same class does not increases the Hausdorff dimension of the characteristic distribution set in the class. Further we study the Hausdorff dimension of some uncountable union of distribution sets.

• 한국음향학회:학술대회논문집
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• 한국음향학회 1994년도 제11회 음성통신 및 신호처리 워크샵 논문집 (SCAS 11권 1호)
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• pp.364-367
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• 1994

In this paper, we carried out some experiments on the Korean vowel recognition using the fractal dimension of the speech signals. We chose the Mincowski-Bouligand dimensioni as the fractal dimension, and computed it using the morphological covering method. For our experiments, we used both the fractal dimension and the LPC cepstrum which is conventionally known to be one of the best parameters for speech recognition, and examined the usefulness of the fractal dimension. From the vowel recognition experiments under various consonant contexts, we achieved the vowel recognition error rats of 5.6% and 3.2% for the case with only LPC cepstrum and that with both LPC cepstrum and the fractal dimension, respectively. The results indicate that the incorporation of the fractal dimension with LPC cepstrum gies more than 40% reduction in recognition errors, and indicates that the fractal dimension is a useful feature parameter for speech recognition.

• 한국멀티미디어학회논문지
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• 제20권9호
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• pp.1567-1573
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• 2017

The k-nearest neighbor (k-NN) algorithm is one of the most widely used benchmark algorithm in classification. Nowadays it has been further applied to predict time series. However, one of the main concerns of the algorithm applied on short-term electricity load forecasting is high computational burden. In the paper, we propose an approach of dimension reduction that follows the principles of highlighting the temperature effect on electricity load data series. The results show the proposed approach is able to reduce the dimension of the data around 30%. Moreover, with temperature effect highlighting, the approach will contribute to finding similar days accurately, and then raise forecasting accuracy slightly.

• 복식
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• 제39권
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• pp.283-299
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• 1998

The present study is to analyze the dimensions of affective responses according to the types of appeal in underwear advertisements and to find out the influences of affective res-ponses on the attitudes toward advertisement and brands. The research has been made by normative-descriptive survey method with the sample of 654 consumers residing in Seoul and Incheon. The data gaathered was analyzed by the methods of means, standard deviation, ANOVA, factor analysis and regression. The result are as follows : 1. There are 4 dimensions of affective responses ; Emotional dimension, Negative dimen-sion, Upbeat-activation dimension and Sexual activation dimension. 2. Affective responses to the advertising were different according to the characteristics of the consumers. According to the consumer's sex, there are significant differences in each dimension of their affective responses. To the sex appeal advertisement, man show higher degree of affective responses in Emotional, Upbeat-activation and Sexual-activation dim-ensions, while women show higher degree of affective responses in Negative dimension. 3. In case of female consumers, there are significant differences in affective responses to the both appeal type of advertisements according to consumer's age. As the age is increasing. Emotional dimension and Sexual-activation dimension are increasing, but Negative dimension is decreasing in the Ads with sex appeal. In particular, the 19∼24s age group shows strong responses in the Emotional dimension, Upbeat-activation dimension and Sexual-activation dimension to Ads with sex appeal, while it shows the lowest affective responses in Negative dimension. It represents the 19-24s age group is the most positive one to the under-wear advertisements with sex appeal. Consequently, it is proved that the Ads with sex appeal focusing on this age group can be one of the most effective advertising plans. 4. The involvement gets higher, Upbeat-ac-tivation dimension and Sexual-activation dimension are increasing both in males and female groups. But Negative dimension is in-creasing in the female consumer group of low involvement. 5. The attitudes toward advertisements and brands are comparatively stronger in the advertisements using sex appeal type. Regardless of types of appeal in the advertisements, there is a significant difference in their attitudes tow-ard Ads between male and female consumer groups. When Ads are sexual, attitudes toward Ads and Brands are stronger in the female consumer group. But males consumers show com-paratively strong attitudes toward the advertis-ements and brands in both types of appeal. 6. The age of consumers doesn't make any significant difference in their attitudes toward advertisements and brands in both types of appeal. 7. According to the involvement level of the consumers, there are significant differences in their attitudes toward advertisements. In the groups of low involvement, the female consumers show more favorite attitudes toward the advertisements with sex appeal, while the male group show more favorite attitudes toward the non-sex appeal advertisement. But there is no significant difference in consumer's attitude toward brands according to the types of appeal of the advertisement. 8. The affective responses of the consumers caused by the underwear advertisements have a respectable influence on their attitudes toward the advertisements and brands. This research represents that the advertisers should try to arise consumer's positive affective responses such as pleasant, happy, cheerful and warm-hearted emotions by the advertisements. Based on the above results of the research, it can be said that the consumer's affective responses have a strong effect not only on their attitudes toward adver-tisements but on those toward attitude toward the brands.

• 한국통신학회논문지
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• 제15권10호
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• pp.819-828
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• 1990

• 한국통신학회논문지
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• 제19권6호
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• pp.1140-1148
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• 1994

본 논문에서는 음성신호의 프랙탈 차원을 이용하여 한국어 모음인식 실험을 수행하였다. 프랙탈 차원은 Minkowski-Bouligand 차원을 사용하였으며, 형태학적 커버링(morphological covering) 방법을 이용하여 구하였다. 프렉탈 차원과 더불어 기존에 우수한 음성 인식 파라메타로 알려져 있는 LPC 켐스트럼(cepstrum)을 함께 사용하였으며, 프랙탈 차원의 음성인식에의 유용성 여부를 조사하였다. 다양한 자음환경에서의 모음인식 실험결과, LPC 켐스트럼 만을 사용하는 경우 및 프렉탈 차원과 LPC 켐스트럼을 함께 사용하는 경우의 모음 오인식율이 각각 5.6% 및 3.2%로 얻어졌다. 이는 LPC 켑스트럼에 프렉탈 차원을 추가함으로써 오인식되는 데이터가 40%이상 감소되는 결과이며, 프랙탈 차원이 음성인식에 있어서 유용한 특징 파라메터임을 보여준다.

• 한국주조공학회지
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• 제5권4호
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• pp.283-288
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• 1985

The melt of highly purified Zn was poured by top pouring process into the open green sand mold, that was made by using the 3-plane L-sections pattern. After skin was formed, the unsolified melt was poured out by rolling-over. The thicknesses of skin for each different of castings were investigated with one dimension. The results obtained and could be summerzed as follows: 1) While the 3-plant L-sections castings were solidifying in the mold, solidification blocks of different section modulus in the castings were formed, i.e. 1-dimension divergency block, 2-dimension heat divergency block, 3-dimension heat divergency block, 2-dimension heat convergency block, and 3-dimension heat convergency block. 2) When the chill plate was set up to the mold in order to change section modulus artificially, heat divergency blocks and heat convergency blocks according to the shape of chill plate were revealed.

• Communications for Statistical Applications and Methods
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• 제22권3호
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• pp.285-294
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• 2015

A permutation test is the popular and attractive alternative to derive asymptotic distributions of dimension test statistics in sufficient dimension reduction methodologies; however, recent studies show that a bootstrapping technique also can be used. We consider two types of bootstrapping dimension determination, which are partial and whole bootstrapping procedures. Numerical studies compare the permutation test and the two bootstrapping procedures; subsequently, real data application is presented. Considering two additional bootstrapping procedures to the existing permutation test, one has more supporting evidence for the dimension estimation of the central subspace that allow it to be determined more convincingly.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.857-860
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• 1993

In this paper, we apply the self generating neuro fuzzy model (SGNFM) to the dimension analysis of the chaotic time series. Firstly, we formulate a nonlinear time series identification problem with nonlinear autoregressive (NARMAX) model. Secondly, we propose an identification algorithm using SGNFM. We apply this method to the estimation of embedding dimension for chaotic time series, since the embedding dimension plays an essential role for the identification and the prediction of chaotic time series. In this estimation method, identification problems with gradually increasing embedding dimension are solved, and the identified result is used for computing correlation coefficients between the predicted time series and the observed one. We apply this method to the dimension estimation of a chaotic pulsation in a finger's capillary vessels.