• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.4 no.4
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• pp.300-306
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• 2011

In this paper, we suggest a usage profiles for electric home appliances. In Korea, it is published the records for total consumption of electricity in a house but the electric home appliance consumption records in a households are not. To build the data, we must collect the usage of every appliances in a house and the information of the household which live in the house. Unfortunately, it is hard to get the data because of the worry about the breach of privacy. In this paper, we make a scenarios on the electricity consumption pattern of a few households type. Based on the conjecture, we make the power consumption profiles for some home appliances. Comparison to the total electric consumption records for a house, we found our scenarios are quite reasonable.

• The Transactions of the Korea Information Processing Society
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• v.3 no.6
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• pp.1636-1645
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• 1996

In this paper we proposed a new scheme for conditional two dimensional (2-D)moment-based classification of patterns on the basis of Gibbs random fields which are will suited for representing spatial continuity that is the characteristic of the most images. This implementation contains two parts: feature extraction and pattern classification. First of all, we extract feature vector which consists of conditional 2-D moments on the basis of estimated Gibbs parameter. Note that the extracted feature vectors are invariant under translation, rotation, size of patterns the corresponding template pattern. In order to evaluate the performance of the proposed scheme, classification experiments with training document sets of characters have been carried out on 486 66Mhz PC. Experiments reveal that the proposed scheme has high classification rate over 94%.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.10
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• pp.1754-1762
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• 2001

본 연구의 목적은 적합성과 기능성이 고려된 체형별 남성 상의 원형 패턴을 개발하는데 있다. 피험자는 인체계측자료와 측면체형 사진에 의해 선정하고, 체형은 굴신체형, 표준체형, 반신체형으로 분류하였다. 체형별 실험 원형 패턴의 평가를 위하여 기존원형을 선정하였으며, 연구 결과는 다음과 같다; 1. 착의평가 결과 표준체형은 대부분의 항목에서 적합하였으나, 굴신체형과 반신체형에서는 많은 차이가 있었다. 이러한 차이는 앞길이와 등길이 뿐만 아니라 여유량과 윗 가슴둘레에 서 나타난다. 앞품과 뒤품은 외관에 의해 많은 영향을 받으며, 증가된 옆품은 앞품과 뒤품의 부족분을 보충하는 역할을 하였다. 따라서 실험패턴은 기존패턴보다 각 체형에 더욱 적합하며, 체형 적합성과 동작기능성이 고려된 의복 제작을 위한 패턴설계는 인체의 구조와 동작연구에 의해 가능하였다. 2. 기본원형 패턴 설계를 위한 필요치수는 목뒤높이, 등길이, 앞길이, 윗 가슴둘레, 앞품과 뒤품이며, 체형분류의 기준은 윗 가슴둘레, 앞품, 뒤품, 앞길이, 등길이이다. 이와 같은 결과를 근거로 가슴둘레 선은 [(B/2+B/10), 뒤진동깊이는 [(B/10+목뒤높이/10)]로 설정하고, 앞내림은 1.5cm로 하였다.

• Korean Journal of Remote Sensing
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• v.29 no.4
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• pp.351-360
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• 2013

Harmonic analysis enables to characterize patterns of variation in MODIS NDVI time series data and track changes in ground vegetation cover. In harmonic analysis, a periodic phenomenon of time series data is decomposed into the sum of a series of sinusoidal waves and an additive term. Each wave is defined by an amplitude and a phase angle and accounts for the portion of variance of complex curve. In this study, harmonic analysis was explored to tract ground vegetation variation through time for land-cover vegetation change detection. The process also enables to reconstruct observed time series data including various noise components. Harmonic model was tested with simulation data to validate its performance. Then, the suggested change detection method was applied to MODIS NDVI time series data over the study period (2006-2012) for a selected test area located in the northern plateau of Korean peninsula. The results show that the proposed approach is potentially an effective way to understand the pattern of NDVI variation and detect the change for long-term monitoring of land cover.

• Journal of Internet Computing and Services
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• v.6 no.1
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• pp.105-114
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• 2005

This paper describes a new measuring technique by analysing multiple time-series patterns. This paper's goal is that extracts a really measured value having a sample pattern which is the best matched with an inputted time-series, and calculates a difference ratio with the value. Therefore, the proposed technique is not a recognition but a measurement. and not a hardware but a software. The proposed technique is consisted of three stages, initialization, learning and measurement. In the initialization stage, it decides weights of all parameters using importance given by an operator. In the learning stage, it classifies sample patterns using LBG and DTW algorithm, and then creates code sequences for all the patterns. In the measurement stage, it creates a code sequence for an inputted time-series pattern, finds samples having the same code sequence by hashing, and then selects the best matched sample. Finally it outputs the really measured value with the sample and the difference ratio. For the purpose of performance evaluation, we tested on multiple time-series patterns obtained from etching machine which is a semiconductor manufacturing.

• Journal of the Korea Society of Computer and Information
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• v.25 no.5
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• pp.117-126
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• 2020

In this study, a 3D simulation program was used to produce a bodice prototype of a middle-aged male in their 40s and 50s and then analyze the appearance evaluation and airgap, sectional view, color distribution through virtual wearing to compare and analyze the differences between patterns. Through this, it was intended to provide basic data necessary for pattern development to companies that manufacture and produce clothing for middle-aged men. As a result of analyzing, J pattern was analyzed as the most suitable body shape pattern for middle-aged men. E pattern was too tight and L pattern and N pattern had too much spaces. However, J patternt was analyzed that correction was necessary in setting center back and center front length. The aging phenomenon in which the back is slightly bent forward and shoulders are also inclined is expected to appear, so it is necessary to adjust the front-to-back length, shoulder angle, and shoulder length. It is considered that after developing the research pattern by modifying J pattern, it is necessary to develop a body shape prototype for middle-aged men through actual clothing experiments on middle-aged men.

• Journal of the Korea Society of Computer and Information
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• v.25 no.5
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• pp.107-116
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• 2020

The purpose of this study was to compare the pattern of two men's pants for education and two for industry, and to analyze the patterning method that is most suitable for the body shape of middle-aged men. As a result of appearance evaluation for 3D simulation, J pattern was evaluated as the best in most items, and H pattern was analyzed to be the most inappropriate. As a result of measuring the airgap, all four patterns of the waist circumference were evaluated to have very small airgap, and the J pattern had the smallest airgap for the pants. J pattern was analyzed as the most suitable pattern for middle-aged men's body shape by synthesizing the appearance evaluation of virtual wear, color distribution, sectional view, airgap, etc. However, in the case of J pattern, it was analyzed that the pants length needs to be modified. Since this study compared and analyzed only two patterns for education and two for industry, it is thought that the development of pants for middle-aged men should be developed through actual wearing experiments with J patterns.

• Journal of the Korean hospital association
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• v.19 no.5 s.174
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• pp.15-23
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• 1990

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.1
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• pp.213-221
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• 2014

Since 2005, when "The Mobility Enhancement for the Mobility Impaired Act" was enacted, special transport systems(SPS) has been introduced by each responsible local entity. For its efficient operations and service enhancements, a clear understanding of travel patterns of SPS users is required. Yet we currently have a very limited understanding about them due to a lack of necessary data. This study represents an attempt to provide a better understanding of SPS user's travel patterns with the data generated by Gyeongsangnam-do SPS Call Center. The data include the number, time and day of calls, origins and destinations of callers, types of callers' impairement etc. The data thus allow one to analyze users' travel patterns, including area-wide O-D patterns. There were a number of interesting findings. For example, wheelchair users are only about 42% and the trips are made mostly on non-peak daytime periods. The results are expected to provide a helpful information not just for Center's SPS operations, but for other local entities that are interested in developing similar call centers as well. By refining the SPS system, periodic patterns of callers could be identified in the future.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.414-414
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• 2017

토양수분은 지면환경에서 일어나는 수문 및 에너지 순환을 이해하는 데 있어 중요한 기상인자이다. 토양수분 현장관측은 땅속에 매설된 센서에 의해 상당히 정확하게 이루어지만, 관측점 수가 충분치 않아 공간적 연속성을 확보하지 못하는 어려움이 존재한다. 이에 광역적 및 연속적 관측이 가능한 마이크로파 위성센서가 토양수분 정보 획득을 위한 보조수단으로서 그 중요성이 부각되고 있다. 마이크로파 위성센서는 구름 등 기상조건의 제약을 받지 않으며, 1978년 이래 현재까지 여러 위성에 의해 25 km 및 10 km 해상도의 전지구 토양수분자료가 생산되어 왔다. 마이크로파 센서를 이용한 토양수분자료는 동일지점에 대하여 하루 2회 정도 산출되므로 적절한 시간분해능을 가지지만, 공간해상도가 최고 10 km로서 지역규모의 수문분석에 적용하기에는 충분치 않다. 이러한 토양수분자료의 공간해상도 문제 해결을 위하여 다양한 지면환경요소를 활용한 통계적 다운스케일링이 대안으로 제시되었다. 최근의 선행연구들은 대부분 방정식을 이용한 결합모형을 통해 통계적 다운스케일링을 수행하였는데, 회귀식과 같은 선형결합뿐 아니라 신경망이나 기계학습 등의 비선형결합에서도, 불가피하게 발생할 수밖에 없는 잔차(residual)로 인하여 다운스케일링 전후의 공간분포 패턴이 달라져버리는 문제를 안고 있었다. 회귀분석에 잔차의 공간내삽을 결합시킨 회귀크리깅(regression kriging)은 잔차보정을 통해 이러한 문제를 해결함으로써 다운스케일링 전후의 공간분포 일관성을 보장하는 기법이다. 이 연구에서는 회귀크리깅을 이용하여 일자별 AMSR2(Advanced Microwave Scanning Radiometer 2) 토양수분 자료를 10 km에서 1 km 해상도로 다운스케일링하고, 다운스케일링 전후의 자료패턴 일관성을 평가한다. 지면온도(LST), 지면온도상승률(RR), 식생온도건조지수(TVDI)는 일자별로 DB를 구축하였고, 식생지수(NDVI), 수분지수(NDWI), 지면알베도(SA)는 8일 간격으로 DB를 구축하였다. 이러한 8일 간격의 자료를 일자별로 변환하기 위하여 큐빅스플라인(cubic spline)을 이용하여 시계열내삽을 수행하였다. 또한 상이한 공간해상도의 자료는 최근린법을 이용하여 다운스케일링 목표해상도인 1 km에 맞도록 변환하였다. 우선 저해상도 스케일에서 추정치를 산출하기 위해서는 저해상도 픽셀별로 이에 해당하는 복수의 고해상도 픽셀을 평균화하여 대응시켜야 하며, 이를 통해 6개의 설명변수(LST, RR, TVDI, NDVI, NDWI, SA)와 AMSR2 토양수분을 반응변수로 하는 다중회귀식을 도출하였다. 이식을 고해상도 스케일의 설명변수들에 적용하면 고해상도 토양수분 추정치가 산출되는데, 이때 추정치와 원자료의 차이에 해당하는 잔차에 대한 보정이 필요하다. 저해상도 스케일로 존재하는 잔차를 크리깅 공간내삽을 통해 고해상도로 변환한 후 이를 고해상도 추정치에 부가해주는 방식으로 잔차보정이 이루어짐으로써, 다운스케일링 전후의 자료패턴 일관성이 유지되는(r>0.95) 공간상세화된 토양수분 자료를 생산할 수 있다.