• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.5
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• pp.149-157
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• 2008

In this paper, a POI(Point-of-Interest) telematics service platform, in which detailed POI telematics services are discovered automatically and provided, is developed. The platform discovers services with UPnP middleware and provides a location-based service using GIS information. It is implemented by a telematics server, terminals, and service gateways and tested by applying test scenario for validation. Also, the response time and throughput of UPnP messages in the platform is measured and analyzed. The result shows that it has little impact on the service network congestion.

• Journal of the Korean Solar Energy Society
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• v.31 no.5
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• pp.60-66
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• 2011

Selecting optimal wind turbine generators for wind farm sites in the capacity factor point of view is performed in this study. A program to determine the best wind turbine generator for the maximum capacity factor for a site was developed. The program uses both the wind characteristics of the site of interest and the power curves of the wind turbines. The program developed was applied to find out optimal wind turbine generators of three different sites in complex terrain and successfully yielded the best site dependent wind turbine generators. It was also used to determine the best wind turbine generator of the wind farm currently operating in Korea and proved its usefulness. The program and methodology developed in this study considered to be very useful at the initial design stage of the wind farm to determine the best wind turbine generators for the site of interest.

• Annual Conference on Human and Language Technology
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• 2006.10e
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• pp.183-188
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• 2006

본 논문에서 위치 정보 데이터란 텔레메틱스 분야의 응용을 위하여 웹상에서 수집한 Point-of-Interest (POI) 데이터로서 행정구역 및 지명 인명, 상호명과 같은 위치 검색에 사용되는 어휘로 구성된다. 본 논문은 음성 인식 시스템을 구성하는 발음 사전의 개발에 관한 것으로 250k 위치 정보데이터로부터 운율어를 이용하여 불규칙 발음과 발음 변이를 포함하는 가능한 모든 발음을 생성하는 방법을 제안하는 것을 목적으로 한다. 원래 모든 POI 는 한 번씩만 데이터에 포함되어 있으므로, 그 가운데 불규칙 발음을 포함하는 POI를 검출하거나 발음을 생성하기 위해서는 각각의 POI 하나하나를 일일이 검토하는 방법밖에 없는데, 대부분의 POI 가 복합명사구로 이루어졌다는 점에 착안하여 운율어를 이용한 결과, 불규칙 발음 검출과 다중 발음 생성을 효율적으로 수행할 수 있었다. 이러한 연구는 음성처리 영역에서는 위치정보데이터의 음성인식 성능을 향상하는 데 직접적인 기여를 할 수 있고, 무엇보다도 음성학과 음운론 이론을 음성 인식 분야에 접목한 학제적 연구로서 그 의미가 있다고 할 수 있다.

• Nutrition Research and Practice
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• v.1 no.4
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• pp.321-327
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• 2007

The purpose of this study was to assess the relationship between the mother's interest in weight control and its association with the preschooler's obesity and weight related concerns. This was a cross-sectional study based on 470 parents' self-reports. To score interests in weight control, mothers rated each of 6 items on a five-point Likert scale ranging from disagree (1) to agree (5). The perceptions of mothers' weights and their children's weights, mothers' Body Mass Index (BMI), preschoolers' Weight-Length Index (WLI) (%), and weight-related concerns were determined. The mothers' BMI was significantly correlated with interest scores of weight control in mothers (r=0.632, p<0.001) while their children's obesity was weakly correlated with the mothers' interest scores (r=0.133, p=0.025). Mothers with a high interest of weight control reported higher percentages of family history of obesity than mothers with lower interests (63.2% vs. 36.8%, p<0.001). Two-thirds of the mothers (65.4%) were accurate in their perceptions about their weights. Similarly, 63.7% of mothers knew exactly their children's weight-statuses. Compared with mothers with low interest in weight controls, mothers with high interest in weight control had lower correct-perceptions about their weights (p<0.05) but higher correct-perceptions about their children's weights. More than two-thirds of mothers (85%) reported not worrying about their children's obesity in the future. Only 14.3% of the mothers were satisfied with their current weight statuses. Three-fourths of mothers preferred exercise as an effective weight-control method for their children, 20% preferred diet therapy and 5.5% preferred behavior modification. More girls were overweight / obese, than boys (overweight: 16.1% (girl) vs. 12.8% (boy), obese: 5.4% (girl) vs. 4.5% (boy)). About 40% of overweight girls' mothers had low interests in their weight controls with low correct-perceptions in their children's weights, which suggests possible elevated risk of obesity, especially in girls, in the future.

• Journal of The Korean Association For Science Education
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• v.22 no.3
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• pp.586-594
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• 2002

In this study, the relationships among cognitive conflict, situational interest, and conceptual change in studying boiling point were investigated. The differences in the relationships by gender were also investigate. Students of 7th grade(N=370) participated in this study. First, a preconception test was administered to choose students who possessed the misconception studied. After presenting anomalous data, test of response to anomalous data and state interest test were administered. After the instruction with a CAI program, a conception test was administered immediately. The conception test was administered again as a retention test four weeks later. The scores of both cognitive conflicts and state interest test were found to be significantly correlated with the scores of the conception test and the retention test. The results of multiple regression analysis indicated that state interest was significantly more important than cognitive conflict in prediction the degrees of conceptual change and retention of conception. For male students, state interest was the only significant predictor of conceptual change and retention of conception. In contrast, cognitive conflict was the only significant predictor for female students.

• The Journal of Industrial Distribution & Business
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• v.11 no.8
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• pp.31-38
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• 2020

Purpose: This study uses 'Autoregressive Integrated Moving Average Model' to predict the impact of a sharp drop in the base rate due to COVID-19 at the present time when government policies for stabilizing house prices are in progress. The purpose of this study is to predict implications for the direction of the government's house policy by predicting changes in house transaction prices and house rental prices after a sharp cut in the base rate. Research design, data, and methodology: The ARIMA intervention model can build a model without additional information with just one time series. Therefore, it is a time-series analysis method frequently used for short-term prediction. After the subprime mortgage, which had shocked since the global financial crisis in April 2007, the bank's interest rate in 2020 is set at a time point close to zero at 0.75%. After that, the model was estimated using the interest rate fluctuations for the Bank of Korea base interest rate, the house transaction price index, and the house rental price index as event variables. Results: In predicting the change in house transaction price due to interest rate intervention, the house transaction price index due to the fall in interest rates was predicted to change after 3 months. As a result, it was 102.47 in April 2020, 102.87 in May 2020, and 103.21 in June 2020. It was expected to rise in the short term. In forecasting the change in house rental price due to interest rate intervention, the house rental price index due to the drop in interest rate was predicted to change after 3 months. As a result, it was 97.76 in April 2020, 97.85 in May 2020, and 97.97 in June 2020. It was expected to rise in the short term. Conclusions: If low interest rates continue to stimulate the contracted economy caused by COVID-19, it seems that there is ample room for house transaction and rental prices to rise amid low growth. Therefore, In order to stabilize the house price due to the low interest rate situation, it is considered that additional measures are needed to suppress speculative demand.

• Journal of the HCI Society of Korea
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• v.11 no.1
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• pp.29-38
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• 2016

Mobile tour guide applications help tourists to search for and visit their surrounding POIs(Points of Interest) of their locations and to obtain their guide information. With the development of wearable devices like smart watches and wearable glasses, people using multiple mobile devices are increasing; a tourist may use a hand-held device, a wearable device or both to obtain tour information. However, most mobile tour guides using mobile devices provide the tour information with little consideration of their hand-held and wearable characteristics. In particular, a tourist with multiple mobile devices who search for the tour information from multiple mobile devices must input their intention separately to each device. To alleviate these problems, we propose a mobile tour guide system with the following features: one is to reduce redundant user input by sharing the touring context between hand-held and wearable devices; the other is to present tour information according to capabilities and usage pattern of the devices. The proposed system guides tourists by complementing disadvantage of the devices and also minimizes user interaction between applications and tourists.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.2
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• pp.453-459
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• 2017

Users tend to check in and post their statuses in location-based social networks (LBSNs) to describe that their interests are related to a point-of-interest (POI). While previous studies on discovering area-of-interests (AOIs) were conducted mostly on the basis of density-based clustering methods with the collection of geo-tagged photos from LBSNs, we focus on estimating a POI boundary, which corresponds to only one cluster containing its POI center. Using geo-tagged tweets recorded from Twitter users, this paper introduces a density-based low-complexity two-phase method to estimate a POI boundary by finding a suitable radius reachable from the POI center. We estimate a boundary of the POI as the convex hull of selected geo-tags through our two-phase density-based estimation, where each phase proceeds with different sizes of radius increment. It is shown that our method outperforms the conventional density-based clustering method in terms of computational complexity.

• Proceedings of the KIPE Conference
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• 2001.10a
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• pp.369-373
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• 2001

Multilevel inverter has attracted great interest in high-voltage high-power field because of its less distorted output. In this paper, a direct torque control (DTC) technique based on a three-level neutral-point-clamped (NPC) inverter is presented. In order to solve the intrinsic neutral-point voltage-balancing problem and to obtain a high performance DTC, a special vector selection method is introduced and the concept of virtual vector is developed. By using the proposed PWM strategy, a MRAS speed sensor-less DTC drive can be achieved without sensing the neutral-point voltage, The strategy can be verified by simulation and experimental results.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.297-298
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• 2013

본 논문에서는 IR 영상추적을 위하여 가린 표적의 실제 중심을 예측하는 추적창 조절(target window adjustment) 기법을 제시한다. 대표적 분할 추적(patch tracking) 방식인 특징점 추적(feature point tracking)은 표적의 중심과 특징점을 coupling하여 가린 표적의 실제 중심을 예측할 수 있으나, 형상 정보가 적은 영상에서 표적의 ROI(Region of Interest)는 특징점의 분포만으로는 구할 수 없다. 본 논문에서는 상관추적의 추적창 조절 기법과 특징점 추적의 coupling 기법을 결합하여 표적이 장애물에 가리는 경우에도 안정적인 추적창을 유지한다.