• 한국디지털정책학회:학술대회논문집
• /
• 한국디지털정책학회 2004년도 International Conference on Digital Policy & Management
• /
• pp.13-24
• /
• 2004

Administrative procedures are the heart of the activity in each Town Council. Citizens do transactions every day and, sometimes, they do not understand what they must do or the steps to follow. We are developing a Web-based system to help citizens with this task in an easy way. The application is integrated a four year project called Albacete[Digital] that began in 2002 with the purpose of building an e-government system in Albacete, a city with over 150.000 citizens. This Administrative Information Centre is the result of the Administration study in the first year of the project and it will continue with the on-line transaction in the following years.

• 산업기술연구
• /
• 제29권A호
• /
• pp.95-100
• /
• 2009

In this paper, we implemented a speaker-independent speech recognizer using the TMS320F28335 DSP which is optimized for control applications. For this implementation, we used a small-sized commercial DSP module and developed a peripheral board including a codec, signal conditioning circuits and I/O interfaces. The speech signal digitized by the TLV320AIC23 codec is analyzed based on MFCC feature extraction methed and recognized using the continuous-density HMM. Thanks to the internal SRAM and flash memory on the TMS320F28335 DSP, we did not need any external memory devices. The internal flash memory contains ADPCM data for voice response as well as HMM data. Since the TMS320F28335 DSP is optimized for control applications, the recognizer may play a good role in the voice-activated control areas in aspect that it can integrate speech recognition capability and inherent control functions into the single DSP.

• International Journal of Reliability and Applications
• /
• 제4권2호
• /
• pp.79-95
• /
• 2003

Manufacturers collect and analyze field reliability data to enhance the quality and reliability of their products and to improve customer satisfaction. To reduce the data collecting and maintenance costs, the amount of data maintained for evaluating product quality and reliability should be minimized. With this in mind, some industrial companies assemble warranty databases by gathering data from different sources for a particular time period. This “marginal count failure data” does not provide (i) the number of failures by when the product entered service, (ii) the number of failures by product age, or (iii) information about the effects of the operating season or environment. This article describes a method for estimating age-based claim rates from marginal count failure data. It uses covariates to identify variations in claims relative to variables such as manufacturing characteristics, time of manufacture, operating season or environment. A Poisson model is presented, and the method is illustrated using warranty claims data for two electrical products.

• 지식경영연구
• /
• 제17권3호
• /
• pp.45-64
• /
• 2016

As the digital retail environement becomes prevalent, consumers are given greater opportunities to make purchases across physical and digital boundaries. Prior research emphasizes that the attractiveness of the digital or online channel is relatively determined by spatial specifics of physical locations. The overall market trend combined with prior research suggests that understanding spatial specifics becomes a key to managing both offline and online sales performance together. In this study, we focus on geographic variation in sales performance through offline and online channels and aim to investigate the channel-level sales difference between central and subsidiary areas. To this end, we obtain sales data of skincare and makeup products from a leading cosmetic company. Next, we examine spatial autocorrelations in data and then employ the spatial error models to study the effects of spatial specifics. The empirical findings are as follows. First, there are significant differences in category-specific and channel-level sales between central and subsidiary areas. Second, Moran's I statistics demonstrate the spatial autocorrelations of each variable. Third, spatial error models outperform simple regression models with lower AIC values. Finally, spatial specifics play a greater role in understanding online sales in subsidiary areas whereas they exert greater influence on offline sales in central areas. We believe our study advances the related theory and knowledge of multi-channel retailing and also contributes practically to location-dependent multi-channel strategies and sales data analytics.

• Journal of Forest and Environmental Science
• /
• 제32권3호
• /
• pp.280-290
• /
• 2016

Stem diameter variability is an essential inventory result that provides useful information in forest management decisions. Little has been done to explore the modelling potentials of standard deviation (SDD) and coefficient of variation (CVD) of diameter at breast height (dbh). This study, therefore, was aimed at developing and testing models for predicting SDD and CVD in stands of Pinus caribaea Morelet (pine) in south west Nigeria. Sixty temporary sample plots of size $20m{\times}20m$, ranging between 15 and 37 years were sampled, covering the entire range of pine in south west Nigeria. The dbh (cm), total and merchantable heights (m), number of stems and age of trees were measured within each plot. Basal area ($m^2$), site index (m), relative spacing and percentile positions of dbh at $24^{th}$, $63^{rd}$, $76^{th}$ and $93^{rd}$ (i.e. $P_{24}$, $P_{63}$, $P_{76}$ and $P_{93}$) were computed from measured variables for each plot. Linear mixed model (LMM) was used to test the effects of locations (fixed) and plots (random). Six candidate models (3 for SDD and 3 for CVD), using three categories of explanatory variables (i.e. (i) only stand size measures, (ii) distribution measures, and (iii) combination of i and ii). The best model was chosen based on smaller relative standard error (RSE), prediction residual sum of squares (PRESS), corrected Akaike Information Criterion ($AIC_c$) and larger coefficient of determination ($R^2$). The results of the LMM indicated that location and plot effects were not significant. The CVD and SDD models having only measures of percentiles (i.e. $P_{24}$ and $P_{93}$) as predictors produced better predictions than others. However, CVD model produced the overall best predictions, because of the lower RSE and stability in measuring variability across different stand developments. The results demonstrate the potentials of CVD in modelling stem diameter variability in relationship with percentiles variables.

• 한국환경과학회지
• /
• 제12권2호
• /
• pp.227-236
• /
• 2003

Electrokinetic remediation technique offers the opportunity to extract heavy metals from soils with high plasticity. The experiment demonstrated the applicability of electrokinetic remediation on metal-mining deposit and the decision of the enhancement method for four kinds of bench-scale studies. According to the sequential extraction of heavy metals in the "I" mining deposit, Pb and Cu were mostly associated with residual fraction and Zn and Cd were associated with water soluble and residual fraction. Therefore, removable fractions by electrokinetic technology was determined by the sum of the fraction of water soluble and exchangeable, which is Cu : 19.53%, Pb : 1.42%, Cd : 52.82%, Zn : 57.28%, respectively. When considering electrical potential, volume of effluent, soil pH, and eliminated rate of contaminant, results determined by sum of each weight were Citric aic+SDS (13) > 0.1N $HNO_3$ (10) > HAc (8) > DDW (4). Therefore, citric acid and SDS mixed solution was determined the best enhancing agent for the remediation of metal mining deposit.g deposit.

• 한국해안·해양공학회논문집
• /
• 제32권5호
• /
• pp.322-330
• /
• 2020

부산, 목포 지점의 평균해수면(MSL)과 고극조위, 저극조위 자료의 이상자료 시계열 모델링을 수행하였다. 시계열 모델은 계절성분을 포함하는 SARIMA 모형이며, 일시적인 변화에 해당하는 이상자료(Additive Outlier, AO)와 영구적인 변화를 의미하는 기준고도 변화(Level Shift, LS)를 모델에 포함하였으며, AIC 기준에 의거하여 최적 모델을 선정하였다. 이상자료 모형의 매개변수 추정은 R 프로그램 'tsoutliers' 패키지('tso' 함수)를 이용하였다. 선정 모형을 이용하여 이상자료와 기준고도 변화 진단에 적용한 결과, 부산의 월 단위 고극조위 자료에서 2003, 2012년 발생한 태풍 매미(MAEMI), 산바(SANBA)에 의한 일시적인 수위상승을 65.5, 29.5 cm 정도로 추정하였으며, 목포의 월 단위 평균해수면 자료에서는 1983년의 영산강 하굿둑 건설 사업에 의한 기준고도 변화를 21.2 cm 정도로 추정하였다. 한편 본 연구에서 구성한 모형은 모형의 편향을 유발하는 이상자료의 영향을 포함하며, 모형에 의한 RMS 오차는 연간 자료를 사용한 경우, 부산은 MSL 1.95 cm, 고극조위, 저극조위 각각 5.11 cm, 6.50 cm이며, 목포의 경우에는 큰 조차의 영향으로 MSL 2.01 cm, 고극조위, 저극조위 각각 11.80 cm, 9.14 cm로 부산보다 다소 높게 나타났다.

• Structural Engineering and Mechanics
• /
• 제63권6호
• /
• pp.809-824
• /
• 2017

The accurate evaluation of wind characteristics and wind-induced structural responses during a typhoon is of significant importance for bridge design and safety assessment. This paper presents an expectation maximization (EM) algorithm-based angular-linear approach for probabilistic modeling of field-measured wind characteristics. The proposed method has been applied to model the wind speed and direction data during typhoons recorded by the structural health monitoring (SHM) system instrumented on the arch Jiubao Bridge located in Hangzhou, China. In the summer of 2015, three typhoons, i.e., Typhoon Chan-hom, Typhoon Soudelor and Typhoon Goni, made landfall in the east of China and then struck the Jiubao Bridge. By analyzing the wind monitoring data such as the wind speed and direction measured by three anemometers during typhoons, the wind characteristics during typhoons are derived, including the average wind speed and direction, turbulence intensity, gust factor, turbulence integral scale, and power spectral density (PSD). An EM algorithm-based angular-linear modeling approach is proposed for modeling the joint distribution of the wind speed and direction. For the marginal distribution of the wind speed, the finite mixture of two-parameter Weibull distribution is employed, and the finite mixture of von Mises distribution is used to represent the wind direction. The parameters of each distribution model are estimated by use of the EM algorithm, and the optimal model is determined by the values of $R^2$ statistic and the Akaike's information criterion (AIC). The results indicate that the stochastic properties of the wind field around the bridge site during typhoons are effectively characterized by the proposed EM algorithm-based angular-linear modeling approach. The formulated joint distribution of the wind speed and direction can serve as a solid foundation for the purpose of accurately evaluating the typhoon-induced fatigue damage of long-span bridges.

• Asian-Australasian Journal of Animal Sciences
• /
• 제29권5호
• /
• pp.607-614
• /
• 2016

The objectives of the study were to estimate genetic parameters for milk production traits of Holstein cattle using random regression models (RRMs), and to compare the goodness of fit of various RRMs with homogeneous and heterogeneous residual variances. A total of 126,980 test-day milk production records of the first parity Holstein cows between 2007 and 2014 from the Dairy Cattle Improvement Center of National Agricultural Cooperative Federation in South Korea were used. These records included milk yield (MILK), fat yield (FAT), protein yield (PROT), and solids-not-fat yield (SNF). The statistical models included random effects of genetic and permanent environments using Legendre polynomials (LP) of the third to fifth order (L3-L5), fixed effects of herd-test day, year-season at calving, and a fixed regression for the test-day record (third to fifth order). The residual variances in the models were either homogeneous (HOM) or heterogeneous (15 classes, HET15; 60 classes, HET60). A total of nine models (3 orders of $polynomials{\times}3$ types of residual variance) including L3-HOM, L3-HET15, L3-HET60, L4-HOM, L4-HET15, L4-HET60, L5-HOM, L5-HET15, and L5-HET60 were compared using Akaike information criteria (AIC) and/or Schwarz Bayesian information criteria (BIC) statistics to identify the model(s) of best fit for their respective traits. The lowest BIC value was observed for the models L5-HET15 (MILK; PROT; SNF) and L4-HET15 (FAT), which fit the best. In general, the BIC values of HET15 models for a particular polynomial order was lower than that of the HET60 model in most cases. This implies that the orders of LP and types of residual variances affect the goodness of models. Also, the heterogeneity of residual variances should be considered for the test-day analysis. The heritability estimates of from the best fitted models ranged from 0.08 to 0.15 for MILK, 0.06 to 0.14 for FAT, 0.08 to 0.12 for PROT, and 0.07 to 0.13 for SNF according to days in milk of first lactation. Genetic variances for studied traits tended to decrease during the earlier stages of lactation, which were followed by increases in the middle and decreases further at the end of lactation. With regards to the fitness of the models and the differential genetic parameters across the lactation stages, we could estimate genetic parameters more accurately from RRMs than from lactation models. Therefore, we suggest using RRMs in place of lactation models to make national dairy cattle genetic evaluations for milk production traits in Korea.

• 문화기술의 융합
• /
• 제6권2호
• /
• pp.321-325
• /
• 2020

본 연구는 첨단과학 기술이 전투개념에 미치는 영향과 AICBM 기술을 접목한 미래 육군의 전투를 새롭게 개념화 하는데 목적이 있다. '전투개념'은 시대 상황에 따라 변화하고, 다음 두 가지 사례를 통해 볼 수 있다. 첫째, 적을 분석 하여 상대적 우위를 달성하는 개념이다. 이러한 대표적인 사례가 미군이 '공지합동전투'를 '다영역작전(Multi-Domain Operations)'으로 발전시킨 경우를 들 수 있다. 둘째, 전투개념의 변화를 이끄는 '과학기술'이다. 세계 1차 대전시 육상과 해상에서의 화력전이 항공기의 출현으로 인해 세계 2차 대전에서 '공중전'으로 발전된 것이 대표적 사례이다. 이와 관련하여 미군은 '미래사령부' 창설 등을 통해 첨단과학기술을 기반으로 미래 작전환경에 부합한 싸우는 개념과 미래 군 건설에 집중하고 있다. 따라서 우리 군도 4차 산업혁명의 주요기술을 기회로 활용하여 미래 전투개념을 발전시킬 필요가 있으며, 미래의 전쟁은 첨단과학기술이 전쟁을 수행하는 개념 발전에 영향을 크게 미칠 것이며, 이는 4차 산업혁명을 근간으로 한 AICBM 기술이 초연결·초지능·초융합의 형태로 국방운영에서의 혁신을 촉진할 것이기 때문이다. 따라서 본 연구는 첨단과학 기술이 전투개념에 미치는 영향과 AICBM 기술을 접목한 미래 육군의 전투개념을 제시할 것이다.