• Journal of Korea Spatial Information System Society
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• v.6 no.1 s.11
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• pp.73-85
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• 2004

Recently, as the growth of the wireless Internet, PDA and HPC, the focus of research and development related with GIS(Geographic Information System) has been changed to the Real-Time Mobile GIS to service LBS. To offer LBS efficiently, there must be the Real-Time GIS platform that can deal with dynamic status of moving objects and a location index which can deal with the characteristics of location data. Location data can use the same data type(e.g., point) of GIS, but the management of location data is very different. Therefore, in this paper, we studied the Real-Time Mobile GIS using the HBR-tree to manage mass of location data efficiently. The Real-Time Mobile GIS which is developed in this paper consists of the HBR-tree and the Real-Time GIS Platform HBR-tree. we proposed in this paper, is a combined index type of the R-tree and the spatial hash Although location data are updated frequently, update operations are done within the same hash table in the HBR-tree, so it costs less than other tree-based indexes Since the HBR-tree uses the same search mechanism of the R-tree, it is possible to search location data quickly. The Real-Time GIS platform consists of a Real-Time GIS engine that is extended from a main memory database system. a middleware which can transfer spatial, aspatial data to clients and receive location data from clients, and a mobile client which operates on the mobile devices. Especially, this paper described the performance evaluation conducted with practical tests if the HBR-tree and the Real-Time GIS engine respectively.

• Environmental and Resource Economics Review
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• v.21 no.4
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• pp.809-850
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• 2012

A linkage of emissions trading schemes among Korea, China and Japan demonstrates overall increase in gross domestic product (GDP). However, it also demonstrates reductions in household consumption, and the impact of integration could be very unbalanced between the countries. In particular, the reductions in domestic marginal costs are high in both Korea and Japan. Therefore, household consumptions in the two countries decrease despite increases in GDP because Korea and Japan will be purchasers of emissions rights. China, on the other hand, will experience the opposite. The unbalanced impacts on real household consumptions are intensified when emission credits are allocated via paid auctions instead of free allocation. This was demonstrated to be the case because the circumstances of three countries are intensified when using a paid emissions credit allocation scheme, and their differences could potentially hinder the cooperation between the three countries. Under the free allocation scheme, the emission trading schemes' unbalanced impacts on consumption could be mitigated, but unavoidable negative impacts of free allocation schemes are also serious. Based on the analysis results, Korea, China, and Japan will individually face complicated impacts if their carbon markets are integrated. Although the GDP of three countries will increase as a result of carbon market integration, the benefits of integration will surely be unbalanced, and the three countries will experience negative impacts in terms of actual consumption or employment. In particular, increases in income and consumption, reductions in employment, and energy dependence by credit purchasers (Japan and Korea) and production reduction and possibility of offshoring faced by revenue producing countries (China) could serve as a barrier to carbon market integration. To maximize the positive influences of carbon market integration while reducing the risks of negative side effects, the development and application of complimentary policy tools, such as import duties or discounts for emissions credits, are required.

• Environmental and Resource Economics Review
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• v.21 no.1
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• pp.175-210
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• 2012

As London and post-Koyto protocols presumably affect emission of organic waste in Korea in 2012, appropriate treatment of organic waste becomes very important. Organic wastes are regarded as non-point pollutants. It has been criticized that direct emission charges on the emission of non-point pollutants are not effective due to the high uncertainty in the relationship between pollution sources and pollution levels. This study suggests indirect emission charges on production of livestocks or consumption on foods. Furthermore, it is assumed that revenue from the emission charges will be recycled to support biogas production. Biogas can be fueled to produce energy. In order to evaluate potential economic and environmental impacts of recycling the indirect emission charges on organic wastes, a static CGE model was developed. Simulation results of emission charges on the production of livestock show that livestock, agriculture, and food industry will confront relatively high burden while emission charges on consumption of food will affect more broadly and consumers will suffer more. Production charge on livestock sector will lead to higher reduction in GDP and total expenditure relative to the consumption charge. GHGs reduction effect was higher for the consumption charge relative to the production charge. Synthetically, consumption charge on food sector is more desirable as an alternative charge for the emission of organic wastes.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.4
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• pp.1105-1116
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• 2014

A stochastic rainfall model, NSRPM (Neyman-Scott Rectangular Pulse Model), is able to reflect the cluster characteristics of rainfall events which is unable in the RPM (Rectangular Pulse Model). Therefore NSRPM has advantage in the hydrological applications. The NSRPM consists of five model parameters and the parameters are estimated using optimization techniques such as DFP (Davidon-Fletcher-Powell) method and genetic algorithm. However the DFP method is very sensitive in initial values and is easily converge to local minimum. Also genetic algorithm has disadvantage of long computation time. Nelder-Mead method has several advantages of short computation time and no need of a proper initial value. In this study, the applicability of parameter estimation methods was evaluated using rainfall data of 59 national rainfall networks from 1973-2011. Overall results demonstrated that accuracy in parameter estimation is in the order of Nelder-Mead method, genetic algorithm, and DFP method.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.1474-1478
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• 2007

수문 및 수질자료는 일정한 기준에 의한 관측치를 시계열 자료로 기록하거나 전송할 때 다양한 형태의 오차가 발생하게 되며 또한 수문 및 수질자료를 관측하는 측정기기의 고장과 유지관리 등의 어려움으로 다양한 형태의 결측 자료가 발생하고 있다. 이와 더불어 수문 및 수질자료는 시공간적 변동성이 크며 비선형성이 강한 특성을 갖고 있다. 이러한 수문 및 수질 자료를 이용하여 모형을 구축할 경우 다양한 형태의 잡음에 대한 검증 및 잡음저감이 필수적 요건이라 할 수 있다. 따라서 본 연구에서는 영산강 유역의 본류부를 대표하는 나주지점에 대한 유출량과 총유기탄소(TOC) 농도 및 TOC 부하량 예측모형을 개발하였으며, 이를 위한 방법으로는 잡음저감을 위하여 웨이블렛 변환과 인공신경망을 적용하였다. TOC 부하량 자료는 유출량과 TOC 자료간의 함수로서 표현이 가능함에 따라 유출량 및 TOC 자료가 결측되었을 경우 역함수에 의한 계산으로 결측 자료에 대한 보간이 가능하다. 따라서 본 연구의 주안점은 잠음 저감 및 인공신경망에 의해 최적화된 예측 모형이 결측된 유출량과 TOC 자료에 대한 역함수로 정도있는 유출량과 TOC 자료 생성 가능성을 검토하고자 한다. 본 연구의 적용 결과, 유출량 자료가 결측되었을 경우 TOC 및 TOC 부하량 예측으로 유출량 자료에 대한 간접추정 및 결측 자료에 대한 보간의 정도를 평가한 결과 $R^2$는 0.99 이상의 값을 보였다. 또한, TOC 자료가 결측되었을 경우 역시 $R^2$는 비교적 우수한 0.97 이상의 값을 보였다. 따라서 본 연구에서 개발한 유출량 및 TOC, TOC 부하량 예측모형의 개발은 정도있는 유출량 및 TOC 수질 자료의 생성이 가능할 것으로 기대된다.한 물순환 해석을 할 수 있는 기반을 확보 하였으며, 가용한 장 단기간의 관측자료와 물수지 분석 연산식의 추정치를 바탕으로 관측자료에 의한 물수지 분석을 수행하였다. 분석 결과로 산지 소하천 유역인 설마천 시험유역의 각 수문요소의 물이동간의 정량적인 값을 알 수가 있었으며, 앞으로 추가적이고 지속적인 수문모니터링이 운영되고 물순환 해석 모형에 의한 검증이 수행된다면 정량적인 물순환 관계를 규명할 수 있을 뿐만 아니라 이와 관련된 수문요소기술을 확보할 수 있을 것이다.절한 타협과 조정을 필요로 한다. 그러나 절제의 한계를 넘어선다고 생각되거나, 조정의 노력이 불가능하거나, 실패했을 때 폭력적인 행동으로 나타나게 된다. 리차즈(I.A Richards)는 분노와 공포는 일단 겉잡을 수 없는 경향이 있다고 하면서 오늘날 폭력에 대한 요구가 일상의 정서 생활에 있어, 억압을 통한, 빈곤함을 반영하고 있지 않은지 생각해봐야 할 것이라고 충고한다. 조성 가이드라인(안)을 제시하였다.EX>$\ulcorner$세종실록$\lrcorner$(世宗實錄) $\ulcorner$지리지$\lrcorner$(地理志)와의 비교를 해보면 상 중 하품의 통합 9개소가 삭제되어 있고, $\ulcorner$동국여지승람$\lrcorner$(東國與地勝覽) 에서는 자기소와 도기소의 위치가 완전히 삭제되어 있다. 이러한 현상은 첫째, 15세기 중엽 경제적 태평과 함께 백자의 수요 생산이 증가하자 군신의 변별(辨別)과 사치를 이유로 강력하게 규제하여 백자의 확대와 발전에 걸림돌이 되었다. 둘째, 동기(銅器)의 대체품으로 자기를 만들어 충당해야할 강제성 당위성 상실로 인한 자기수요 감

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.1-9
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• 2021

In this paper, we propose a training algorithm of support vector machine (SVM) with a sensitive variable. Although machine learning models enable automatic decision making in the real world applications, regulations prohibit sensitive information from being used to protect privacy. In particular, the privacy protection of the legally protected attributes such as race, gender, and disability is compulsory. We present an efficient least square SVM (LSSVM) training algorithm using a fully homomorphic encryption (FHE) to protect a partial sensitive attribute. Our framework posits that data owner has both non-sensitive attributes and a sensitive attribute while machine learning service provider (MLSP) can get non-sensitive attributes and an encrypted sensitive attribute. As a result, data owner can obtain the encrypted model parameters without exposing their sensitive information to MLSP. In the inference phase, both non-sensitive attributes and a sensitive attribute are encrypted, and all computations should be conducted on encrypted domain. Through the experiments on real data, we identify that our proposed method enables to implement privacy-preserving sensitive LSSVM with FHE that has comparable performance with the original LSSVM algorithm. In addition, we demonstrate that the efficient sensitive LSSVM with FHE significantly improves the computational cost with a small degradation of performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.669-678
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• 2018

This study developed information technology infrastructures for building a driving environment analysis platform using various big data, such as vehicle sensing data, public data, etc. First, a small platform server with a parallel structure for big data distribution processing was developed with H/W technology. Next, programs for big data collection/storage, processing/analysis, and information visualization were developed with S/W technology. The collection S/W was developed as a collection interface using Kafka, Flume, and Sqoop. The storage S/W was developed to be divided into a Hadoop distributed file system and Cassandra DB according to the utilization of data. Processing S/W was developed for spatial unit matching and time interval interpolation/aggregation of the collected data by applying the grid index method. An analysis S/W was developed as an analytical tool based on the Zeppelin notebook for the application and evaluation of a development algorithm. Finally, Information Visualization S/W was developed as a Web GIS engine program for providing various driving environment information and visualization. As a result of the performance evaluation, the number of executors, the optimal memory capacity, and number of cores for the development server were derived, and the computation performance was superior to that of the other cloud computing.

• Korean Journal of Remote Sensing
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• v.28 no.4
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• pp.459-466
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• 2012

Satellite operation is divided as user's request, image collection planning, product generation, distribution. Image collection planning is to make image collection plan of satellite to reflect user's request in proper time based on NTO (New Task Order) and AO (Archive Order) using limited satellite resources. Image collection planning has high computational cost because of considering several variables simultaneously, is to be performed identical process repeatedly. In this paper, optimization research of image collection planning is performed for efficient planning. First, formulation of image collection planning is made to require satellite image as much as possible and then Heuristic algorithm is suggested for solution of formulation.

• Journal of Korean Society of Transportation
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• v.22 no.2 s.73
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• pp.95-102
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• 2004

The COSMOS is an adaptive traffic control systems that can adjust signal timing parameters in response to various traffic conditions. To evaluate the performance of the COSMOS systems, the field study is only practical option because any evaluation tools are not available. To overcome this limitation, a newly integrated interfacing simulator between a microscopic simulation program and COSMOS was developed. In this paper, a detector module and a signal timing module as well as general feature of the simulator were described. A validation test was performed to verify the accuracy of the data flow within the simulator. It was shown that the accuracy level of information from the simulator was high enough for real application. Several practical comments on further studies were also included to enhance the functional specifications of the simulator.

• Environmental and Resource Economics Review
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• v.18 no.1
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• pp.23-51
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• 2009

This research alms at quantifying economic impacts of free trading policy on environment-friendly fuel industry applying a static general equilibrium (CGE) model for Korea. Theoretically, 'polluters haven' hypothesis had been debated as major issue on the environmental effects of trade liberalization during 1970s and 1980s but recent literature emphasizes that production, scale, structural, and regulatory effects may derive rapid diffusion of environment friendly technologies. In this study, trade liberalization policy affects output of agricultural sectors negatively while that of biodiesel as environment-friendly technology positively. The rise m the output of biodiesel is derived from the reduction in import prices of agricultural products due to the abolishment of tariff. The policy implication from the analysis is that feedstock for producing biodiesel should be exploited in the foreign countries where productivity of agriculture is quite predominant compared to Korean agriculture.